PyConDE & PyData Berlin 2024

Adrian Boguszewski

AI Software Evangelist at Intel. Adrian graduated from the Gdansk University of Technology in the field of Computer Science 7 years ago. After that, he started his career in computer vision and deep learning. As a team leader of data scientists and Android developers for the previous two years, Adrian was responsible for an application to take a professional photo (for an ID card or passport) without leaving home. He is a co-author of the LandCover.ai dataset, creator of the OpenCV Image Viewer Plugin, and a Deep Learning lecturer occasionally. His current role is to educate people about OpenVINO Toolkit. In his free time, he’s a traveler. You can also talk with him about finance, especially investments.

  • Cloud? No Thanks! I’m Gonna Run GenAI on My AI PC
Alenka Frim

My software development journey started with open source and Apache Arrow project. More specifically, I started with contributing to the Arrow R package in 2021. After that I have contributed to other open source projects connected to the Python dataframe API standard while on Quansight and became a Apache Arrow committer in 2022 after being a regular contributor to Apache Arrow (Python) since 2021. I am currently working at Voltron Data as a Software Engineer.

  • A deep dive into the Arrow Columnar format with pyarrow and nanoarrow
Alexander CS Hendorf

Alexander Hendorf is responsible for data and artificial intelligence at a boutique consultancy in Germany. He has many years of experience in the practical application, introduction and communication of data and AI-driven strategies and decision-making processes.
Through his commitment as a speaker and chair of various international conferences as PyConDE & PyData Berlin, he is a proven expert in the field of data intelligence. He's been appointed Python Software Foundation and EuroPython fellow for this various contributions. Currently he is sitting board member of Python Software Verband (Germany) and the EuroPython Society (EPS). Currently he's building Pioneers Hub - a new non-profit organisation to support tech-communities.

  • PyCon Community Backstage: A Decade of Camaraderie, Growth, and Lessons Learned
  • Community Conferences under the Hood. Perspectives and Best Practices in Volunteer Organization
Alexander Fischer

Economist and Data Scientist. I spend most of my week working on online auctions at Trivago and open source packages for regression modeling and inference in R and Python.

  • Mostly Harmless Fixed Effects Regression in Python with PyFixest
Alexander Meier

I’m an experienced Data Scientist with a strong background in Software Engineering and a PhD in Mathematical Statistics. I’m interested in Machine Learning, ML Engineering and Time Series Analysis.

  • Tackling the Cold Start Challenge in Demand Forecasting
Andrei Chernov

Career:
Since 2022, I have continued my career as a data scientist at FlixBus.
From 2018 to 2022, I worked as a Data Scientist in banking.

Education:
From 2021 to 2022, I received a micro master's degree in Finance.
From 2019 to 2021, I received a master's degree in computer science.
From 2015 to 2019, I received a bachelor's degree in applied math.

  • FlixBus CitySnap: How we use GenAI and not only to collect captivating images for cities and confirm their locations
Anja Kunkel

I'm Anja, Principal Fullstack Engineer working at Mister Spex @ Berlin, Germany. We are right now breaking down a monolith and replacing parts of it by future-ready technology. Previously, I have worked for eBay.
Also, I'm sports enthusiast and current local champion in wakeskating. I love to find and cross the borders of what seems achievable.

  • Power structures. The fair advantage
Anna-Lena Popkes

I'm Anna-Lena, a machine learning engineer living in Bonn, Germany. I'm very passionate about learning and love to share my knowledge with other people. Besides machine learning I love teaching Python and have been a regular guest on PyCon events and podcasts.

  • When and how to start coding with kids
Anton Caceres

I manage a Python agency with a strong focus on community engagement, evidenced by my involvement in organizing PyCons and leading PyMunich meetups. Being a Python Software Foundation fellow, I am dedicated to a journey of constant learning and sharing.

  • Advanced Observability with OpenTelemetry and Python
Antonia Scherz

Antonia Scherz is senior specialist for machine learning applications at PD - Berater der öffentlichen Hand in Berlin. At PD she builds proof of concept tools and assists in software development for machine learning applications in public administration. She is passionate about making machine learning and open software tools widely and securely used by public administration and is fascinated by how new tools can be integrated into old structures for the public good.

  • You shall not pass! 🧙 Strengthen your python code against attacks.
Anuun

Writer by choice and a data enthusiast at heart. Crafting compelling narratives with Open Source Software at dltHub. With a background in International Relations, I am currently pursuing Computer Science, focusing on Machine Learning, at TU Berlin.

  • The Struggles We Skipped: Data Engineering for the TikTok Generation
Artem Kislovskiy

I am a software engineer who codes for fun and profit. Proudly affiliated with the EuroPython Society, I am committed to share my knowledge at conference and actively contibute to Python community events. As a Pythonista I love crafting elegant and maintainable software. Beyond coding, I find joy in long-distance running and the thrill of speeding down ski slopes.

  • Streamlining Python Development: A Practical Approach to CI/CD with GitHub Actions
Arthur Bayr
  • Working for sdox for 4 year as a fullstack engineer with focus on API architecture/performance and security on BE and FE site
  • Django for 7+ years
  • Vue/React/Apollo for 5+ years
  • DevOps and Server Admin for 5+ years
  • Prompt Engineer (raising 3 kids → giving some input → get random response)
  • Django loves strawberries
Aya Elsayed

Aya Elsayed is a software engineer at Bloomberg. She’s a leader in the company's Python Guild, which aims to support Python engineers at Bloomberg to innovate, develop Python packages, and stay connected to the broader Python community. Aya previously spoke at a few conferences, including PyCon US 2023, PyCon Italia 2023, and PyCon UK 2022, as has delivered workshops at internal and local meetups like PyLadies London. She enjoys Pilates, hiking, and trying out restaurants around London.

  • No More Raw SQL: SQLAlchemy, ORMs & asyncio
Azan Bin Zahid
  • Leveraging the Art of Parallel Unit Testing in Django
Bilge Yücel

Bilge is a Developer Advocate at deepset, working with Haystack, an open source LLM framework. With over two years of experience as a Software Engineer, she developed a strong interest in NLP and pursued a master's degree in Artificial Intelligence at KU Leuven with a focus on NLP. Now, she enjoys working with Haystack and helping the community build LLM applications. ✨ 🥑
Let's connect if you'd like to talk about how fast the AI field is: Twitter, Linkedin

  • Improve LLM-based Applications with Fallback Mechanisms
Bojan Miletic

Hi there! I'm a seasoned MLOps professional, specializing in bridging the gap between AI/ML concepts and real-world applications. My expertise lies in transforming ML models from theoretical data lab projects into impactful proofs of concept, MVPs, and fully operational products. I'm passionate about demonstrating the tangible value of these models to investors and key decision-makers.

Leveraging #Python and #AWS, I focus on extracting real business value from ML algorithms. My role extends to mentoring AI scientists in crafting clean, reusable Python code, significantly cutting costs in ML software deployment and development. Think of me as your go-to fractional MLOps expert, guiding your company through the intricate world of ML and DevOps. Join me in exploring how to effectively manage, monitor, and mature ML models in our ever-evolving digital landscape

  • Async Awaits: Mastering Asynchronous Python in FastAPI
Boris Gomaz

A structural biology researcher enthusiastic about crystallography, molecular dynamics, and programming.

  • How Python helped us uncover secrets of protein motion
Charles Truong

Charles Truong is a researcher at Centre Borelli, ENS Paris-Saclay, France. His research interests lie between signal processing, statistics and machine learning. Most of his work is applied in biomedical and industrial contexts. He is the core developper of ruptures, a Python package dedicated to change-point detection algorithms.

  • Everything you need to know about change-point detection
Cheuk Ting Ho

After having a career as a Data Scientist and Developer Advocate, Cheuk dedicated her work to the open-source community and working as a community manager at OpenSSF. She has co-founded Humble Data, a beginner Python workshop that has been happening around the world. She has served the EuroPython Society board for two years and is now a fellow and director of the Python Software Foundation.

  • PyO3 101 - Writing Python modules in Rust
  • Acknowledging Women’s Contributions in the Python Community Through Podcast
  • (PyLadies Panel) Reflecting Within: Challenging Narratives in Tech Feminism
Christopher Bock

After finishing my PhD in high energy physics, I worked as software developer and as solution architect on projects in various industries. In the end I ended up at The Mobility House, because I want to work towards a zero-zero future. Nowadays I am working as one of the team leads in the area of vehicle-grid-integration.

  • Connecting batteries with Python: Towards EV Charging with #zero emissions at #zero costs
Clemens Hübner

For more than ten years, Clemens has been working at the interface between software and security. After roles as a software developer and in penetration testing, he joined inovex in 2018 as a software security engineer. Today, he supports development projects at the conception and implementation level, advises on DevSecOps and loves giving trainings and talks.

  • Better safe than sorry: Threat Modeling for Python Developers
Daniel Klitzke

I'm a seasoned AI professional with an additional background in software engineering and web development. Having participated in and led quite a few machine learning-based projects in the engineering domain, I've worked on various ML problems, ranging from ML on images and 3D data to audio and time series analysis. My expertise in software engineering makes it easy for me to bring ML solutions to production. Currently, my focus is on helping people build effective ML models, from planning out projects to creating performant models and productionizing them. I'm particularly passionate about data curation, and I'm excited to be a part of the team building Renumics Spotlight, a free data curation tool.

  • Breaking AI Boundaries: Fairness Metrics in Unstructured Data Domains
Daria Mokrytska

Data Scientist from Heidelberg, Germany. The central focus of my work is time series forecasting, with a specific emphasis on forecasting demand. Before my current role, I gained experience as a Research Assistant focusing on astrophysics and data analysis.

  • Tackling the Cold Start Challenge in Demand Forecasting
Darina Goldin

Dr. Darina Goldin has a Ph.D. in Control Science, but secretly wishes she had pursued a degree in pure math instead. Either way, she'd probably still have ended up as a principal data scientist at Bayes Esports, where she has been modeling Esports Data for the past 8 years. When not at her desk, Darina can be found on the mats competing in Brazillian Jiu-Jitsu.

  • Lose your fear of equations!
Daryna Dementieva

Hi, I'm Daryna 👋🇺🇦 I am a postdoctoral researcher at Social Computing Research Group in Technical University of Munich🇩🇪. Before, I obtained my PhD degree at Skolkovo Institue of Science and Technology under supervision of Alexander Panchenko with topic "Method for Fighting Harmful Multilingual Textual Content" 📜. Currently, I continue to follow my research vector participating in eXplainable AI (XAI) project and also multilingual NLP developing the models for the Ukrainian language.

  • How to Do Monolingual, Multilingual, and Cross-lingual Text Classification in April, 2024
David Vujic

My name is David and I'm a software developer. Colleagues and friends may know me as an early adopter of agile ideas and test driven development. I am passionate about things like that, and share the things I learn to the community and the people I work with. My favorite programming languages are Python and Clojure. On my spare time I practice outdoor Parkour & contribute to Open Source.

  • Python Monorepos: The Polylith Developer Experience
Dishant Sethi

Dishant is software engineer who is equipped with the experience in Web Development, Cloud Engineering, DevOps and MLOps. He started Prodinit, a software consultancy, after successfully freelancing for a long period of time.

Talk to him about:
♦ Product Engineering
♦ Dev/ML Ops

  • I achieved peak performance in python, here's how ...
Dmitriy Pastushenkov

Dmitriy Pastushenkov is a passionate AI PC Evangelist at Intel Germany  with more than 20 years of comprehensive and international experience in the industrial automation, industrial Internet of Things (IIoT) and real-time operating and AI. Dmitriy has held various roles in software development and enablement, software architecture and technical management.  
Dmitriy started the career at Intel in 2022 as a Software Architect. He works on the enablement and optimization of real-time, functional safety and AI workloads on the smart edge applying innovative Intel technologies and software products.  Currently,  as an AI PC Evangelist Dmitriy focuses on the AI Software Stack of AI PC, including OpenVINO.
Dmitriy has a Master’s degree in Computer Science from Moscow Power Engineering Institute (Technical University).

  • Cloud? No Thanks! I’m Gonna Run GenAI on My AI PC
Dr. Christian Leschinski

Dr. Christian Leschinski leads the data science team and the Customer Intelligence team at Axel Springer National Media and Tech. His work is dedicated to build data and AI products that improve the user experience and the monetisation of digital media products and to help organisations to make data-informed decisions. This encompasses use cases ranging from programmatic advertising and subscription pricing to customer analytics and news recommendation.

  • Tailored and Trending: Key learnings from 3 years of news recommendations
Dr. Juan Orduz

Juan is a Mathematician (Ph.D. Humboldt Universität zu Berlin) and data scientist. He is interested in interdisciplinary applications of mathematical methods. In particular, time series analysis, bayesian methods, and causal inference.

  • A conceptual and practical introduction to Hilbert Space Gaussian Process (HSGP) approximation methods
Dr. Kristian Rother

Kristian is a freelance Python trainer who wrote his first lines of Python in the year 0x11111001111. In his early career he wrote software for life science research. Since 2011, he has been teaching Python and Data Science in Europe. He has translated and written Python books and published teaching material. Kristian has collected 308 stars on Advent of Code. His knowledge about async is, unfortunately, miserable. His favorite Python module is 're'. Kristian believes everybody can learn programming.

  • Refactoring Large Programs
Dr. Lisa Andreevna Chalaguine

Meet Lisa, a dynamic force at the intersection of computer science, education, and global exploration. Armed with a Ph.D. from University College London in computer science, Lisa's academic journey was a quest to imbue chatbots with the art of engaging in compelling, argumentative dialogues using authentic language.

During her time at UCL, Lisa discovered her passion for teaching, dedicating herself to shaping the minds of future technologists. Her expertise and enthusiasm led her to positions as an associate lecturer at UCL and a guest teacher at the prestigious Oxford University.

Eager for new horizons, Lisa decided to take her skills beyond the academic realm. Breaking away from London and the confines of traditional employment, she embraced the life of a digital nomad. Lisa now crisscrosses the globe, sharing her knowledge on Python and machine learning with corporate and private clients. Her expertise doesn't stop there; Lisa also delves into data science projects in the intriguing realm of legal tech.

In the digital realm, Lisa is a prolific creator of online teaching content, fluent in English, German, and Russian. When she's not immersed in the world of technology, Lisa finds balance through her love for yoga. As a certified Ashtanga and Rocket Vinyasa Yoga teacher, she brings mindfulness and physical well-being to her nomadic lifestyle. Additionally, Lisa is a skilled Thai Massage Therapist, adding a therapeutic touch to her repertoire.

In the quieter moments of her globetrotting life, Lisa unwinds with a good book, illustrating that even in the fast-paced world of technology and travel, there's always time for the simple pleasure of a captivating story. Lisa's journey exemplifies the harmonious blend of intellect, wanderlust, and a passion for sharing knowledge that defines her unique and inspiring presence in both the tech and wellness spheres.

  • Can ChatGPT convince you to get a COVID19 vaccine? Comparing ChatGPT to an expert system - which one is more convincing?
Dr. Mirza Klimenta

Mirza Klimenta received his PhD in Computer Science from the University of Konstanz (Germany) at age 25. While in academia, Mirza worked in the fields of dimension reduction and graph embedding, and his work has been recognized by the scientific community. As a (Senior) Data Scientist, Mirza focuses on Recommender Systems and Algorithm Engineering. His most notable work is in the design and implementation of a Recommender System powering ARD Audiothek, one of the most popular audio-on-demand platforms in Germany. He is also a writer of literary fiction.

  • Content Recommendation with Graphs: From Basic Walks to Neural Networks
Dr. Tania Allard

Tania is the Director of Quansight Labs and a PSF fellow and director. She is also a member of the PyLadies Global council and a long time Pythonista.

  • Building accessible documentation sites
Emanuele Fabbiani

Engineer by education, Data Scientist by choice, researcher and lecturer by passion. Emanuele earned his PhD in AI by researching time series forecasting in the energy field. He was a guest researcher at EPFL Lausanne, and he's now the Head of AI at xtream, where he solves business problems with AI. He published 8 papers in international journals, presented and organized tracks and workshops at international conferences, including AMLD, ODSC, WeAreDevelopers, PyCon, and ERUM, and lectured in Italy, Switzerland, and Poland.

  • Marketing Media Mix Models with Python & PyMC: a Case Study
Emma Haley

Half colombian, half spanish half german data person with particular interest in natural languages. Translator & Computer Scientist by training, pythonista by heart.

  • From LLM as oracle to LLM as translator - our journey from theory to everyday’s practice in a corporate setting with dmGPT (and python)
Farah

A passionate Software Engineer who is looking to connect the dots between environment and technology to make a sustainable world. I am working as a Software Engineer at Smartmirco Braunschweig.

  • Green Software Engineering
Ferdinand Schenck

I am a Machine Learning Engineer at LiveEO currently focused on applying Machine Learning techniques to remote sensing data.

Before that, I did a PhD in particle physics at the Humboldt-Universität zu Berlin on the ATLAS experiment at CERN.

  • 🌳 The taller the tree, the harder the fall. Determining tree height from space using Deep Learning and very high resolution satellite imagery 🛰️
Florian Bruhin

Florian Bruhin ("The Compiler") is a long-time contributor and maintainer of
both the pytest framework and various plugins. He discovered pytest in 2015 -
since then, he has given talks and conducted workshops about pytest at various
conferences and companies. His primary project, qutebrowser (a keyboard-focused
web browser), has grown from a hobby to a donation-funded part-time job.

  • pytest tips and tricks for a better testsuite
Florian Jetter
  • Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars
Florian Roscheck

Florian is a Sr. Data Scientist at Henkel where he develops machine learning solutions for R&D and production use cases across the company's adhesive and consumer good portfolios. He is also known as online instructor for the open-source data engineering framework Apache Spark. Florian volunteers his time as the current Vice President of the Affiliated Project Selection Committee at NumFOCUS, helping scientific open-source projects grow.

  • From idea to production in a day: Leveraging Azure ML and Streamlit to build and user test machine learning ideas quickly
Florian Wilhelm

Florian is Head of Data Science & Mathematical Modeling at inovex GmbH, an IT project center driven by innovation and quality, focusing its services on ‘Digital Transformation’.

  • Streamlining Python Development: A Guide to a Modern Project Setup
  • Community Conferences under the Hood. Perspectives and Best Practices in Volunteer Organization
Gregor Bauer

Gregor Bauer from Couchbase is driven by understanding customer needs and delivering suitable solutions. With a telecommunications background, he has led technical teams in delivering customized device management and IoT solutions globally. As Manager Solutions Engineering CEUR at Couchbase, he specializes in application modernization, multi-cloud strategies, and sustainable high user experience, with a particular focus on edge computing.

  • Select ML from Databases
Guillaume Lemaitre

I have a PhD in computer science and have been a scikit-learn and imbalanced-learn core developer since 2017. I am currently an open-source engineer helping at the maintenance of these tools.

  • A Retrieval Augmented Generation system to query the scikit-learn documentation
Gunar Maiwald

Gunar Maiwald has a background in Computer Science. For the last 4 years he worked as an ML engineer at idealo.de. His professional programming path led him from Perl via TypeScript to Python.

  • LinkedIn: https://de.linkedin.com/in/gunar-maiwald-6a5aa6194
  • The key to reliability - Testing in the field of ML-Ops
Hannes Mühleisen

Prof. Dr. Hannes Mühleisen is a creator of the DuckDB database management system and Co-founder and CEO of DuckDB Labs, a consulting company providing services around DuckDB. Hannes is also Professor of Data Engineering at Radboud Universiteit Nijmegen. His main interest is analytical data management systems.

  • Keynote - Safe Space or Trap? Creating Software like DuckDB in Academic Institutions
Hector Hernandez

Hector Hernandez is a language educator, currently serving as a Computational Linguist at Babbel. With 12 years in Second Language Acquisition, he brings a wealth of experience in curriculum development, podcast hosting, scripting, and teaching English and Spanish as a second language. More recently, Hector has delved into developing applications with Large Language Models, applying this technology to enhance language learning experiences.

  • Best of both worlds - How we built an AI-aided content creation tool for language learning
Hiba Jamal

The data field has been my home for 3 years. I'm now a Data Science Working Student at dltHub in Berlin. Previously, I contributed as a researcher, data scientist and business analyst in startups and government-funded projects in Pakistan. Currently pursuing a master's degree in data analytics and AI for business management, I hold a prior degree in Computer Science with a touch of liberal arts.

  • The Struggles We Skipped: Data Engineering for the TikTok Generation
Ignacio Vergara
  • Bridging the Gap: From Analytical Models to Operational Success
Ines Montani

Ines Montani is a developer specializing in tools for AI and NLP technology. She’s the co-founder and CEO of Explosion and a core developer of spaCy, a popular open-source library for Natural Language Processing in Python, and Prodigy, a modern annotation tool for creating training data for machine learning models.

  • The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
Inessa Pawson

Inessa is building bridges between people, open science, and open source software, advocating for diversification of contribution pathways to open source and supporting its human infrastructure. She is an active contributor to the Python ecosystem (NumPy, Scientific Python, PyOpenSci, SciPy conference, PyCon US Maintainers Summit, PySWFL, PyLadies SoFlo) and broader open source (Contributor Experience Project, CHAOSS). In her role as Open Source Program Manager at OpenTeams, she leads initiatives focused on widening the contributor pipeline and bringing funding to more open source projects. Inessa is perpetually fascinated by incentive design, collaborative intelligence, and jazz.

  • Keynote - The art and science of tending open source orchards
Jamie Coombes

I'm a Machine Learning Engineer with 3 years of Python and PyTorch development experience. I've provided ML expertise to startups and the UK government, I am interested in beneficial AI applications.

I spoke at EuroPython Prague this summer and I have speaking experience through my prior role as a Science Teacher with TeachFirst. My background is studying Physics and then Atmospheric Physics interpreting large tropical cyclone datasets at Imperial College London.

  • Mojo 🔥 - Is it Python's faster cousin or just hype?
Jannis Lübbe

2008
M.Sc. Physics and Computer Science at Osnabrück University

2012
PhD in Physics at Osnabrück University

2013 - now
Sensor Developer at ROSEN Group

  • Enhance your balcony power plant with Python
Jan Teichert-Kluge

My name is Jan and I work as a research associate at the University of Hamburg, where I am studying for my PhD in statistics and data science. I have a master's degree in industrial engineering and together with my experience from industry, I have a strong application-oriented background.
I have contributed to the DoubleML package for Python and my research focuses on Causal ML for unstructured data such as text and images.

  • Using ML to find out the "Why"? A Tutorial in Causal Machine Learning
Javier de la Rúa Martínez

Javier is a Research Engineer at Hopsworks where he actively contributes to advancing the
Hopsworks Feature Store platform. He is currently pursuing his Ph.D. at KTH Royal Institute of
Technology in Sweden with a primary focus on large-scale machine learning systems

  • Build a personalized Bitcoin (BTC) virtual assistant in Python with Hopsworks and LLM function calling
Jean Machado

Jean Carlo Machado is a Brazilian DataScience Manager at GetYourGuide for the Growth Data Products team and the Machine Learning Platform Team. From this point of view is able to collaborate with amazing people in turning business opportunities into data science products, from inception to large scale production deployments of multiple data products. Jean values community building and getting communities together; he is currently one of the organizers of the MLOps.community Berlin. Jean spends a significant part of his ever shrinking free time building open-source tools his focus right now building social good tech.

  • DDataflow: An open-source end-to-end testing framework for ML pipelines
Jens Nie

A physicist who has filled a variety of roles in a leading service company in the oil and gas industry, currently tackling the development of embedded devices at Rosenxt based on the Raspberry Pi, LinuX and Python with a Python history going back to version 1.4.

  • Documenting R&D Progress using jupyter-book - and feel safe for the next performance audit
  • AsyncApp. My contribution to hype Pythons asyncio a bit more
Jim Dowling

Jim Dowling is CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. He is lead architect of the open-source Hopsworks platform, a horizontally scalable data platform for machine learning that includes the industry's first Feature Store. He is writing a book for O'Reilly on ML Systems with a feature store.

  • Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks
Johannes Bechberger

Johannes Bechberger is a JVM developer working on profilers and their underlying technology in the SapMachine team at SAP. He started at SAP in 2022 after two years of research studies at the KIT in Java security analyses. His work today comprises many open-source contributions and his blog, where he writes regularly on in-depth profiling and debugging topics and works on his JEP Candidate 435 to add a new profiling API to the OpenJDK. He has been an avid Python user for almost 10 years, with a special interest in type systems and debuggers.
Since 2023 he's touring through the meet-ups and conferences of Europe, like JavaZone and Devoxx Belgium to speak on various topics.

  • Python 3.12's new monitoring and debugging API
John Robert

John Robert is a Senior Machine Learning Engineer at Condo GMBH, boasting five years of expertise in machine learning. Their focus lies in deploying models while prioritizing data privacy and security. With prior experience at Daimler (Mercedes Benz) and Bosch Autonomous Driving, Robert has a rich background in automotive AI.

Passionate about innovation, Robert actively participates in Hackathons and is a valued member of the MLOps community, contributing to advancements in AI technology and fostering collaboration.

  • Safeguarding Privacy and Mitigating Vulnerabilities: Navigating Security Challenges in Generative AI
John Sandall

John Sandall is the CEO and Principal Data Scientist at Coefficient.

His experience in data science and software engineering spans multiple industries and applications, and his passion for the power of data extends far beyond his work for Coefficient’s clients. In April 2017 he created SixFifty in order to predict the UK General Election using open data and advanced modelling techniques. Previous experience includes Lead Data Scientist at YPlan, business analytics at Apple, genomics research at Imperial College London, building an ed-tech startup at Knodium, developing strategy & technological infrastructure for international non-profit startup STIR Education, and losing sleep to many hackathons along the way.

John is also a co-organiser of PyData London, co-founded Humble Data in 2019 to promote diversity in data science through a programme of free bootcamps, and in 2020 was a Committee Chair for the PyData Global Conference. He is currently a Fellow of Newspeak House with interests in open data, AI ethics and promoting diversity in tech.

  • Whispered Secrets: Building An Open-Source Tool To Live Transcribe & Summarize Conversations
Jon Nordby

Jon is a Machine Learning Engineer specialized in IoT systems.
He has a Master in Data Science and a Bachelor in Electronics Engineering,
and has published several papers on applied Machine Learning,
including topics like TinyML, Wireless Sensor Systems and Audio Classification.

These days, Jon is co-founder and Head of Data Science at Soundsensing,
a leading provider of condition monitoring solutions for commercial buildings and HVAC systems.
He is also the creator and maintainer of emlearn,
an open-source inference engine for microcontrollers and embedded systems.

  • Machine Learning on microcontrollers using MicroPython and emlearn
Joris Van den Bossche

I am a core contributor to pandas and Apache Arrow, and a maintainer of GeoPandas. I did a PhD at Ghent University and VITO in air quality research and worked at the Paris-Saclay Center for Data Science. Currently, I work at Voltron Data, contributing to Apache Arrow, and am a freelance teacher of python (pandas) at Ghent University.

  • A deep dive into the Arrow Columnar format with pyarrow and nanoarrow
Julian Wagenschütz

I am a simulation engineer developing sustainable battery system platforms at Volkswagen. I have been working on battery systems since 2016, starting in Formula Student. There, I created an open source library for analyzing vehicle control unit data with a Pandas-like interface called CANdas. I hold a master's degree in mechanical engineering with a strong focus on simulation and data management. I am always on the lookout to improve simulation workflows using Python.

  • There is a Better Way to Automate and Manage Your (Fluid) Simulations
Jürgen Gmach

I am a software developer with a passion for Python and Linux, developing open source software both at my day job at Canonical, and at night as a maintainer of tox and many other projects.

I would love to connect with you!

  • My blog
  • Mastodon
  • Twitter
  • LinkedIn
  • How to Improve the Python Development Experience for Millions of Ubuntu Users
Kateryna Budzyak

Kateryna is Data Scientist at Malt, the freelancer marketplace, where she works in the search and matching team. She has a background in bioinformatics and passionate about beautiful code.

  • Is GenAI All You Need to Classify Text? Some Learnings from the Trenches
Katharine Jarmul

Katharine Jarmul is a privacy activist and data scientist whose work and research focuses on privacy and security in data science workflows. She works as a Principal Data Scientist at Thoughtworks and author of Practical Data Privacy. She is a passionate and internationally recognized data scientist, programmer, and lecturer.

  • (PyLadies Panel) Reflecting Within: Challenging Narratives in Tech Feminism
  • Your Model _Probably_ Memorized the Training Data
Kristof Schröder

After completing his PhD in applied mathematics, specializing in applied
harmonic and numerical analysis, Kristof developed a keen interest in the
rapidly evolving field of artificial intelligence. This interest inspired
him to transition his career towards AI engineering,
where he spent the next five years working on various machine learning
projects. In May 2023, he joined the TransferLab team at appliedAI Institute.

  • Data valuation for machine learning
Lais Carvalho

Laís Carvalho is an active member of the Python community. She was the first black female board member of Python Ireland, and a core-organiser of HumbleData, a non-profit organisation focused on mentoring underrepresented minorities on Python and Data Science. Currently, Laís is the only female board member of the EuroPython Society.
Seasoned speaker and ex-developer advocate, Laís is passionate about leadership and volunteering. She works as a Site Reliability Engineer at Workday Inc. building monitoring tools.

Lais is excited about food, documentation, and communication. Her main core values are courage and kindness.

  • Community Conferences under the Hood. Perspectives and Best Practices in Volunteer Organization
Laysa Uchoa

Laysa is a digital architect who constructs scalable structures using the magic of the cloud and Python. She is a certified cloud engineer and an enthusiastic advocate of the Python language and its environments. In addition to this, she serves as the leader of the PyLadies Munich chapter—a community where individuals gather to learn, share, and nurture their growth.

  • Boost your app to Flash speed by mastering performance tricks
Leah Silen

As the Executive Director of NumFOCUS, Leah currently leads a network of support initiatives to sustain open source scientific computing. She has spent twelve years building a 501(c)(3) nonprofit organization positioned to serve projects critical to global research and technological innovation. Under her leadership, NumFOCUS has launched vital programming, including Fiscal Sponsorship, PyData Events and Meetups, Small Development Grants, Diversity in Scientific Computing, Project Contributor and Diversification Research, corporate sponsorship, governance advisement, and Project Sustainability Summits. She has overseen over $26 million in project-restricted donations and grants, which have gone towards maintenance, infrastructure, roadmaps, documentation, community management, legal services, DEI initiatives, developer and community events, and promotion of the open source projects in NumFOCUS’s portfolio. (or under NumFOCUS’s umbrella.

Before her tenure at NumFOCUS, Leah worked in the nonprofit and educational fields. Her experience spans roles as a public relations manager, educator, and program director with a focus on community development and fundraising. Leah has also served as a volunteer on committees and boards for several nonprofits.

  • Keynote - A View From My Window - An Outside Perspective of Open Source Scientific Computing From the Inside
Lea Petters

Lea Petters holds a PhD in Behavioral Economics and works as a Data & AI expert at inovex. Her industry expertise spans retail, e-commerce, media, and education tech. She has experience realizing different use cases spanning sales forecasting, causal effect estimation, recommendation systems, and generative AI.

She is passionate about topics around causality, mathematical modeling, data & AI strategy, data storytelling, ethics, and large language models.

  • Best of both worlds - How we built an AI-aided content creation tool for language learning
Leonardo Rochael Almeida

Python developer with over 22 years of experience, Leonardo is a technical reviewer for Luciano Ramalho's "Fluent Python" book for both editions.

  • The Secret Life of Metaclasses
Lev Konstantinovskiy

Lev Konstantinovskiy is the Head of Engineering at a Berlin start-up Synthflow that specialises in AI voice agents. Long time ago he used to maintain a python Natural Language Processing library gensim

  • Building Professional Voice AI with Vocode
Lisa Reiber

Lisa works as a data engineer at the in-house data lab of the German Federal Ministry for Family Affairs, Senior Citizens, Women and Youth.

  • Public Money, Public Experiment - open source processes in the public administration
Luciano Ramalho

Luciano Ramalho is the author of Fluent Python, published in 9 languages and 2 editions since 2015. He was a pioneering organizer of the Python Brasil association, which supports the Brazilian national PyCon. He is now a writer, teacher, and model railroader.

  • The Secret Life of Metaclasses
Manish Saraswat

Manish is currently working as a Senior Data Scientist with a strong focus on building, deploying and serving models. With over nine years working on machine learning problems, he really enjoys building data products around improving search, ranking and recommendations. Outside work, he likes to do outdoor activities like running, swimming etc.

  • Better search relevance using Learning to Rank at mobile.de
Marcel Kurovski

Senior Data Scientist in Wolt's Personalization Team working on Carousel Ranking and Personalized Recommendations. Show Host of Recsperts - Recommender Systems Experts, the Podcast Show with industry and academia experts in Recommender Systems. Building Recommenders and Personalization Solutions with Python for various industries since 7+ years as well as creator and instructor of Python RecSys Training.

  • Personalizing Carousel Ranking on Wolt's Discovery Page: A Hierarchical Multi-Armed Bandit Approach
Marco Gorelli

Marco is a core dev of pandas and Polars and works at Quansight Labs as Senior Software Engineer. He also consults and trains clients professionally on Polars. He has also written the first Polars Plugins Tutorial and has taught Polars Plugins to clients.

He has a background in Mathematics and holds an MSc from the University of Oxford, and was one of the prize winners in the M6 Forecasting Competition (2nd place overall Q1).

  • Polars and Time Series: what it can do, and how to overcome any limitation
Marc Palyart

Marc Palyart is the Head of Data Science at Malt, the freelancer marketplace, where he leads the search and matching team. With over a decade of data-wizardry under his belt, he's ventured into the depths of academia and scaled the heights of industry where he's had the pleasure of collaborating with some truly remarkable people.

  • Is GenAI All You Need to Classify Text? Some Learnings from the Trenches
Marie-Kristin Wirsching

I am a data scientist working at inovex GmbH, supporting our clients in their data-driven projects across the entire machine learning life cycle. My passion lies in everything related to AI, NLP, and Computer Vision, and I am always eager to dive into real-world data to uncover valuable insights.

  • Next Stop: Insights! How Streamlit and Snowflake Power Up Data Stories
Martin Hoermann

Working for over 25 years for ORDIX AG as consultant in topics databases and programming. Focused on programming python in the last years. Giving lectures for beginners and advanced customers. Having lots of fun in edutainment difficult but all-day problems.

  • Encoding Charactersets - may the force be with you
Matthieu Amiguet

Trained both as a musician and a mathematician, Matthieu Amiguet took up programming as a hobby and somehow ended up making a PhD in computer science. He now works freelance - both as a musician and a developer. He is Artistic Director at Les Chemins de Traverse, jointly with Barbara Minder.

Les Chemins de Traverse is a collective of musicians, artists and researchers from a variety of backgrounds with a focus on sonic exploration and live performance. They cover a large musical territory from renaissance and baroque music to jazz, rock music and contemporary experimental noise. More often than not, they mix different styles and techniques - like in a weird chemical experiment that would produce nice colored fluids but might as well explode at any time.

  • Replacing Callbacks with Generators: A Case Study in Computer-Assisted Live Music
Maxim Danilov

Python/Django Senior Software Engineer, Solution Architect and Tech Speaker.

I began my career as a programmer specializing in embedded solutions in 1997, and grow to the role of Chief Technology Officer in 2023. Through many successful projects, I gained a robust understanding of various software development paradigms. After more than 10 years as a code mentor, I finally earned the title 'Super Mentor in Engineering' in December 2023.

  • µDjango, an asynchronous microservices technique.
Michael Panchenko

Mischa is a researcher with background in physics and mathematics who decided to change course and go into AI (for the sake of falsifiability of ideas). On his path since then he has worked on multiple projects in ML and data analysis and as a bonus gained some experience DevOps and in developing production grade solutions.

  • Reinforcement Learning: Bridging The Gap Between Research and Applications
Michael Seifert

Michael is a trainer and consulting software engineer who helps product teams develop Python software in the cloud. He enjoys deleting code more than writing it and is constantly looking for ways to make software easier to maintain.

Michael published his first FOSS project in 2006. He's the currently a maintainer of pytest-asyncio and happens to be a Shuffle Dance enthusiast.

  • Bulletproof Python - Property-Based Testing with Hypothesis
Miguel de Benito Delgado

After several years working as a software developer, Miguel pursued studies in pure mathematics in Madrid and Munich. After finishing his PhD in mathematics, and a short research stay in machine learning, he finally transitioned into the field and ended up working as an applied researcher at the appliedAI Initiative, where he went on to found and head the TransferLab.

  • Data valuation for machine learning
Mike Müller

I've been a Python user since 1999, teaching Python professionally since 2004.
I am also active in the community, organizing Python conferences such as
PyCon DE, EuroSciPy, and BarCamps.
I am a PSF Fellow and chair of the German Python Software Verband.

  • Functional Python
Naa Ashiorkor Nortey

Naa Ashiorkor is a versatile and passionate data scientist with a strong background in UI/UX design. She is currently a Master's in Data Science student and research assistant at Tampere University.

She contributes to the tech community through volunteering and mentoring. She is an active member of PyLadies Ghana and Python Ghana. Also, she is an organizer for PyConDE & PyData Berlin 2024 and Europython 2024.

  • (PyLadies Panel) Reflecting Within: Challenging Narratives in Tech Feminism
Nataliia Kees

I am a Data Scientist at Airbus, where I am a part of the team Digital, building AI products which empower engineering, manufacturing, sales and other business activities of the company. I enjoy diving deep into natural language processing and am passionate about MLOps, good coding practices and deploying AI applications in the cloud. Apart from that, I teach Python, and in my free time, I enjoy hiking and learning new languages.

  • Put your RAG to the test: Component-per-component evaluation of our LLM-powered airplane manufacturing assistant
Nathaniel Forde

I'm a data scientist from Dublin, working at Personio on a range of revenue or customer focused areas. Previously I worked with CarTrawler on pricing and insurance risk modelling, and with Marsh and McLennan in areas of re-insurance and catastrophic risk. Before this i worked in Paddy Power Betfair on models of risk indicators for gambling as part of a responsible gambling initiative. I''m broadly interested in problems of risk and confounding.

  • Missing Data, Bayesian Imputation and People Analytics with PyMC
Nefta Kanilmaz

I am a researcher and PhD candidate at the department of Geoinformatics at the University of Salzburg. My research focus lies on the spatio-temporal analysis of online communication networks based on social media data. Before that, I worked as a software engineer on scalable big data processing for machine learning applications.

  • Analyzing COVID-19 Protest Movements: A Multidimensional Approach Using Geo-Social Media Data
Nick Harmening

Software Engineer at QuantCo, former Cloud Architect and DevOps team lead at BMW Group. I love building and running systems as well as fostering a collaborative working culture.

  • Bridging the Gap: From Analytical Models to Operational Success
Nicolas Guenon des Mesnards

Nicolas is a Sr. ML Engineer at GitGuardian where he develops NLP-based technologies to detect vulnerabilities in code and provide remediation. He was previously Sr. Applied Scientist at Amazon Alexa where he developed the models that power Alexa's core understanding capabilities. He published multiple academic papers at top tier NLP conferences in the field of semantic parsing. Nicolas has hands-on experience with a variety of NLP models applied to client-facing applications.

  • Would you rely on ChatGPT to dial 911? A talk on balancing determinism and probabilism in production machine learning systems
Niklas Lederer

I'm a data person with a focus on machine learning and data science but also business background. Working for a few years now in the data world - especially with Python - I'm now the product lead for a team called Customer genAI Incubator at dmTECH which is the IT subsidiary of dm-drogerie markt.

  • From LLM as oracle to LLM as translator - our journey from theory to everyday’s practice in a corporate setting with dmGPT (and python)
Noé Achache

I am a Lead Data Scientist at Sicara, where I worked on a wide range of projects mostly related to vector databases, computer vision, prediction with structured data and more recently LLMs.
I am currently leading the GenAI development in the company.

Here the list of the talks I did:

Great Practices for RAG in Production @GenAI London Meetup

How to Choose a Vector Database in 2023 @DVC Meetup

Advanced Visual Search Engine with Self-Supervised Learning (SSL) @PyconDE et Pydata Berlin 2023

Great Practices for RAG in Production @GenAI Paris meetup

Generating Millions of text boxes with a GAN @Meetup Computer Vision Paris

  • RAG for a medical company: the technical and product challenges
Olamilekan Wahab

I'm an Engineering Manager in the Machine Learning Platform team in Zalando where I build tools to make it easier for ML engineers, researchers and data scientists to be more productive and compliant.

  • The evolution of Feature Stores
Oliver Schacht

I am a PhD candidate at the University of Hamburg, passionately researching within the field of Causal Machine Learning. As part of my research activities, I am also a contributing developer to DoubleML, which is a toolbox for causal predictions with ML.

  • Using ML to find out the "Why"? A Tutorial in Causal Machine Learning
Paloma Oliveira

As a Growth Engineer at Sauce Labs and a passionate advocate for Free and Open Source Software since 2009, I am deeply committed to driving diversity and equity in tech. I co-organize PyLadies Berlin, serve on the Pysv Python Software Verband board, and contribute to the OpenJS Foundation program committee. My approach to development prioritizes tools that meet user needs, focusing on usability and accessibility while avoiding unnecessary complexity in favor of maintenance, standards, and collaboration. I value clear communication and good documentation as a foundation for fostering collaborative environments, emphasizing mutual understanding and cross-team work. I exercise critical thinking about the technology we create and use, being co-founder of the Zentrum für Netzkunst.

  • (PyLadies Panel) Reflecting Within: Challenging Narratives in Tech Feminism
Pascal Puchtler

I am Pascal Puchtler a freelancer specializing in software testing with Python.

In addition, I have various skills such as software architecture, databases, clean code, AI, Scrum, ...

Furthermore, I have scientific publications with dataset, code and source code.
* HUI-Audio-Corpus-German: A high quality TTS dataset
* Neural SpeechSynthesis in German
* Evaluation of Deep Learning Accelerators for Object Detection at the Edge

  • Which kind of software tests do I really need?
Patrick Hoefler

Patrick Hoefler is a member of the pandas core team and a Dask maintainer. He is currently working at Coiled where he focuses on Dask development and the integration of a logical query planning layer into Dask. He holds a Msc degree in Mathematics and works towards a Msc in Software engineering at the University of Oxford.

  • Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars
Paula Gonzalez Avalos

Scientist, Data Scientist, Coach. Currently Head of AI Academy at the appliedAI institute gGmbH. Paula loves learning, teaching & playing with data. She is also an active member of the PyData community, a PyLadies organizer, and a diversity advocate.

  • How to embrace your Leadership role as a Data Nerd (or other creative types)
Pavithra Eswaramoorthy

Pavithra Eswaramoorthy is a Developer Advocate at Quansight, where she works to improve the developer experience and community engagement for several open source projects in the PyData community. Currently, she maintains the Bokeh visualization library, and contributes to the Nebari (adjacent to the Jupyter community), conda-store (part of the conda ecosystem), and Ragna (RAG orchestration framework) projects. Pavithra has been involved in the open source community for over 5 years, notable as a maintainer of the Dask library and an administrator for Wikimedia’s OSS programs. In her spare time, she enjoys a good book and hot coffee. :)

  • Build an AI Document Inquiry Chat with Offline LLMs
Philip Meier

Philip is a Senior Software Engineer at Quansight. His recent worked focused on Ragna (https://ragna.chat) an OSS RAG orchestration framework.

  • Build an AI Document Inquiry Chat with Offline LLMs
Philipp Millet

With a background in particle physics, Philipp Millet has been working as Data Scientist for HotSprings/Umlaut/Accenture in various projects and domains. In 2023 he joined ZEISS Digital Partners as a Machine Learning Engineer. His focus is getting Data Science projects from a PoC stage into production.

  • Time series anomaly detection with a human-in-the-loop
Philipp Stephan
  • Robust Configuration Management with Pydantic's Data Validation
Raúl Cumplido

I started working with Python in 2008 with Python 2.5 and since then it became my language of choice. I have been involved in the Spanish Python community being one of the co-founders of the Python Spanish Association. I have been involved in the organisation of EuroPython in Bilbao, several PyCon ES (Spain) and the Barcelona meetup.
A couple of years ago I started working in Apache Arrow and since then I have become a committer and a PMC member and I want to share to the rest of the world what we have done and what we are doing.

  • A deep dive into the Arrow Columnar format with pyarrow and nanoarrow
Rhythm Patel

Rhythm Patel is a software engineer at Bloomberg. He is a part of Bloomberg's Python Guild, which is dedicated to aiding Python engineers, fostering innovation, creating and maintaining Python packages, as well as acting as a bridge to the wider Python community. Rhythm has spoken at PyCon UK 2023 and other internal conferences. When he’s not working, you can find him playing football or tennis, traveling and hiking, or volunteering at London’s Royal Parks and London Zoo.

  • No More Raw SQL: SQLAlchemy, ORMs & asyncio
Ricardo Baeza-Yates

Ricardo Baeza-Yates is Director of Research at the Institute for Experiential AI of Northeastern University. He is also a part-time Professor at Universitat Pompeu Fabra in Barcelona and Universidad de Chile in Santiago. Before he was the CTO of NTENT, a semantic search technology company based in California and prior to these roles, he was VP of Research at Yahoo Labs, based in Barcelona, Spain, and later in Sunnyvale, California, from 2006 to 2016. He is co-author of the best-seller Modern Information Retrieval textbook published by Addison-Wesley in 1999 and 2011 (2nd ed), which won the ASIST 2012 Book of the Year award. From 2002 to 2004 he was elected to the Board of Governors of the IEEE Computer Society and between 2012 and 2016 was elected to the ACM Council. Since 2010 he has been a founding member of the Chilean Academy of Engineering. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow, among other awards and distinctions. He obtained a Ph.D. in CS from the University of Waterloo, Canada, and his areas of expertise are web search and data mining, information retrieval, bias and ethics on AI, data science and algorithms in general.

  • Keynote - Ten Key Questions that a Company Should Ask to have Responsible AI
Robert Luce

Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.

  • Prescriptive Analytics in the Python Ecosystem with Gurobi
Robert Meyer

Robert Meyer is a Data Scientist and Neuroscience researcher by training. He completed his PhD at TU Berlin and simulated parts of the cat brain.

After working for the German unicorn Flixbus for two and half years building an automated bus ticket pricing pipeline, he joined the Entrepreneur First incubator. There he met his co-founder Leopold Spenner and together they started alcemy, a Machine Learning startup to accelerate the decarbonization of the cement and concrete supply chain

  • Climate Crisis in Numbers
  • Lessons learned from deploying Machine Learning in an old-fashioned heavy industry
Robson Junior

Robson has been a developer since 2003 with a multifaceted life. Since 2014, I transitioned my career to be a Data Engineer and used Python to handle complex pipelines and glue other technologies. Living in Berlin, in their free time, he is an apprentice paramedical tattooer and glider pilot.

  • The pragmatic Pythonic data engineer
Rodrigo Girão Serrão

Rodrigo has always been fascinated by problem solving and that is why he picked up programming – so that he could solve more problems. He also loves sharing knowledge, and that is why he spends so much time writing articles in his blog mathspp.com/blog, writing on Twitter @mathsppblog, and giving workshops and courses. You can also find his past talks on github.com/mathspp/talks.

His main areas of scientific interest are mathematics (numerical analysis in particular) and programming in general (with a preference for the Python and APL languages), but Rodrigo also enjoys reading fantasy books, watching silly comedy movies and eating chocolate.

  • 525 days working full-time on FOSS: lessons learned
Roman Krafft

Roman Krafft has been employed at PD - Consultant of the Public Sector GmbH since June 2021 and has worked there as a senior specialist since October 2023. He oversees projects in the strategic administrative modernization division with a focus on software development and machine learning.

Roman Krafft studied computer science (Bachelor of Science degree) at the Technical University of Kaiserslautern from 2014 to 2018 and then studied computer science (Master of Science degree) at the same university from 2018 to 2021.

  • You shall not pass! 🧙 Strengthen your python code against attacks.
Rosa Marie Keller

Rosa works as a Data Scientist at the German Federal Ministry for Family Affairs, Senior Citizens, Women and Youth, where she is currently supporting the setup of an in-house Data Lab. As an interdisciplinary thinker with experience in national and EU policymaking, she is interested in sustainable solutions at the intersection of policy, psychology, and data science.

  • (Un)leashed potential of AI in Government
Ruben Arts
  • Bridging the worlds: pixi reimplements pip and conda in Rust
Sanket Verma

Sanket is a data scientist based out of New Delhi, India. He likes to build data science tools and products and has worked with startups, governments, and organisations. He loves building community and bringing everyone together and is Chair of PyData Delhi and PyData Global.

Currently, he's taking care of the community and OSS at Zarr as their Community Manager.

When he’s not working, he likes to play the violin and computer games and sometimes thinks of saving the world!

  • Exploring Zarr: From Fundamentals to Version 3.0 and Beyond
Shahriyar Rzayev

Senior Software Engineer @NordVPN at Nord Security.
Interested in Security, Architecture, and Clean Code.
Leading Azerbaijan Python User Community.

  • Securing Python: Race Condition Vulnerabilities
Shyamnath Premnadh

Shyamnath aka Shyam is a Senior Software Engineer respoinsble for developing PySide and shiboken6 at the Qt Company. Having worked across many domains including Mainframes, Java, Android and Machine Learning, Shyam's current interest lies in playing around with C++ and Python.

  • Deploying your Python application to Android
Silvano Cerza

Generalist software engineer that worked in tons of different languages. Expert in Python and C++. Worked for companies in different fields like Arduino and Pitch. Currently at deepset playing with AI.

  • Haystack 2.0: the story of a rewrite
Simon Pressler

I hold a Masters's Degree in Comparative and International Studies from ETH-Zürich, as well as a Data Science Master from the University of Mannheim. Since March this year I work as a full-time Data Scientist for the Königsweg AI GmbH after being with the team for 2,5 years part time. Also, I enjoy long-distance hiking.

  • That’s it?! Dealing with unexpected data problems
Stefan Ulbrich

I am a researcher and programmer with a passion for geometrical methods especially folding and unfolding in machine learning and robotics. My interests are computational cognition, robotics, bioinformatics, machine learning and data science. I am an experienced Pythonista and Rustacean

  • Performant, scientific computation in Python and Rust
Steffen Klempau

After graduating with a business information systems degree from HS Fresenius, Steffen started working as a Data Engineer at Fielmann (Germany's biggest optician), building their internal data platform. In 2021 he joined Capgemini as an IT consultant working in various roles and projects for a multitude of clients - mostly enterprises. In 2023 Steffen joined Wolt as a Machine Learning Engineer in the personalisation team as one of Wolt's first embedded MLEs. Steffen is also a co-organiser of the ML Ops Community Berlin.

  • Personalizing Carousel Ranking on Wolt's Discovery Page: A Hierarchical Multi-Armed Bandit Approach
Syed Ansab Waqar Gillani

🚀 Python Enthusiast 🐍 | Software Engineer at Agoda | Architect of Scalable Solutions | Agile Advocate | Mentor & Innovator | Speaker at XtremeJS, DjangoCon, OpenEdX, PyCascades | Let's elevate the tech game together! 💻✨

  • Leveraging the Art of Parallel Unit Testing in Django
Tereza Iofciu

Tereza Iofciu is an experienced data practitioner and career coach, leading a coaching team and teaching data science at neuefische. She is a co-organizer of the PyLadies Hamburg group and is part of the Python Software Foundation Code of Conduct and Diversity & Inclusion working groups. She has been awarded the Python Software Foundation 2021 Q1 community service award. She is also part of the DISC Steering Committee team and an Ambassador for Observable.

  • Acknowledging Women’s Contributions in the Python Community Through Podcast
Theodore Meynard

Theodore Meynard is a data science manager at GetYourGuide. He leads the evolution of their ranking algorithm, helping customers find the best activities to book and locations to explore. Beyond work, he is one of the co-organizers of the Pydata Berlin meetup and the conference.
When he is not programming, he loves riding his bike looking for the best bakery-patisserie in town.

  • DDataflow: An open-source end-to-end testing framework for ML pipelines
Thomas Fraunholz

Meet Thomas, a passionate advocate for science, particularly in the realm of applied mathematics. Following his doctoral studies, he embarked on a journey into the world of embedded programming, where his affinity for DevOps took root. His enduring passion for crunching numbers ultimately led him to the fascinating field of artificial intelligence, where he's now an acknowledged MLOps expert, seamlessly integrating machine learning into operations.

Thomas has an impressive track record as a leader, having overseen two publicly funded open-source research programs in the field of AI, in collaboration with the German Aerospace Center. Today, he is at the forefront of AI-driven cybersecurity research at Smart Cyber Security GmbH and working on his low-budget bark beetle detection drone project – a testament to his enduring fascination with embedded systems.

  • Unlock the Power of Dev Containers: Build a Consistent Python Development Environment in Seconds!
Tim Elfrink

Tim is a Staff Machine Learning Engineer at Stepstone. He is working on the deployment of various machine learning projects.

  • Beyond Deployment: Exploring Machine Learning Inference Architectures and Patterns
Tim Paine

Quantitative Developer - Cubist Systematic Strategies
Associate in Computer Science - Columbia University

  • Jupyter Notebooks for Print Media
  • High Performance Data Visualization for the Web
Tobias Lampert

I'm an experienced technical leader with expertise in Data Science and Data Engineering. For over 20 years I have been designing and implementing data-intensive applications end-to-end, from data ingestion to deployment and have build solutions which generate insight from data using statistical analysis and machine learning. My passion is building user-friendly, high-performance and cost-efficient data platforms.

  • Unleashing Confidence in SQL Development through Unit Testing
Tobias Senst

Tobias Senst is a Senior Machine Learning Engineer at idealo internet GmbH. Tobias Senst received his PhD in 2019 from the Technische Universität Berlin under the supervision of Prof. Thomas Sikora. He has more than 10 years of experience in Computer Vision and Video Analytics research.

At idealo, he switched from the world of images and videos to Natural Language Processing and is responsible for the operation and development of machine learning models in a productive environment.

  • LinkedIn: https://linkedin.com/in/tobias-senst-08090b192
  • Github: https://github.com/tsenst
  • Medium: https://medium.com/@tsenst
  • Google Scholar: https://scholar.google.de/citations?user=NKQ8Y9oAAAAJ&hl=de
  • The key to reliability - Testing in the field of ML-Ops
Tun Shwe

Tun Shwe is the VP of Data at Quix, where he leads data strategy and developer relations. He is focused on helping companies imagine and implement their strategic data vision with stream processing at the forefront. He was previously a Head of Data and Data Engineer at high growth startups and has spent his career leading T-shaped teams in developing analytics platforms and data-intensive AI applications.

In his spare time, Tun goes surfing, plays guitar and tends to his analogue cameras.

  • Moving from Offline to Online Machine Learning with River
Usman

Usman is a Machine Learning Engineer working for Xebia Data, with an interest for graph theory, low-level machine learning frameworks and the bridge between research and real-world implementation.

  • Using LLMs to Create Knowledge Graphs From a Large Corpus of Parliamentary Debates
Uwe L. Korn

Uwe Korn is a CTO at the data science company QuantCo. His expertise is in building scalable architectures for machine learning services and the teams & culture around them. Nowadays, he focuses on the data engineering infrastructure that is needed to provide the building blocks to bring machine learning models into production. As part of his work to provide an efficient data interchange, he became a core committer to the Apache Parquet, Apache Arrow and conda-forge projects.

  • Going beyond Parquet's default settings – be surprised what you can get
Valentina Scipione

Valentina Scipione is an active member of the PyData community, serving as on-site committee member and volunteer coordinator of PyConDE & PyData Berlin conference, as well as a committee member of the Pydata Berlin chapter.
She is Software Engineering Manager at Planet, a pioneering company founded by ex-NASA scientists dedicated to using space technology to help life on Earth. Valentina is responsible for ensuring the quality and reliability of the platform which empowers customers to access high-resolution satellite data on demand by tasking satellites directly.
She is passionate about leadership, coaching and volunteering, and in her spare time she enjoys pole dancing and spending time with her three feline companions.

  • Community Conferences under the Hood. Perspectives and Best Practices in Volunteer Organization
Valerio Maggio
  • Boost your Data Science skills with the new Python in Excel
Wolf Vollprecht

Wolf is a conda-forge veteran and renowned software package wrangler. Wolf has started the mamba package manager (and prefix.dev) to make cross-platform, high-performance package management a reality. He has also packaged a lot of software for conda-forge and is a core member of the conda-forge team, as well as the founder of the RoboStack project.

  • Bridging the worlds: pixi reimplements pip and conda in Rust
Yuliia Barabash

I have lived in Germany for the past five years, during which I have gained a diverse range of experiences in the tech industry. My expertise spans from developing web applications in Python to constructing AWS cloud solutions. I have a good understanding of design patterns, Object-Oriented Programming (OOP), event-driven architecture, and microservices architectures. Additionally, I have hands-on experience with REST API design and database technologies. I am continuously committed to enhancing my skills and ensuring that I utilize tools in the best practices.

  • Boost your app to Flash speed by mastering performance tricks
Zoran Štefanić

Dr. Zoran Štefanić senior research associate and Head of the Laboratory for Chemical and Biological Crystallography at the Ruđer Bošković Institute. His main areas of expertise include: chemical crystallography of small organic molecules and hydrogen bonded networks, macromolecular crystallography, strong background in physics and mathematics, development of computer algorithms mainly in Python programming language, database design and web development. As the principal investigator of the ALOKOMP project, he is responsible for the overall coordination of the research and managing all activities between team members, organizational and financial matters, as well as for the publication of results, annual scientific and financial reports to the Croatian Science Foundation. More specifically in this project his tasks will be data collection and 3D structure determination of new enzyme structures, development of central relational database, programming of algorithms for data extraction, development of web server, and co-mentorship of PhD student.

  • How Python helped us uncover secrets of protein motion