Aleksandra Płońska

Lawyer and graphic designer, supporting innovative ideas in the field of data science. Associated with MLJAR since 2019.

  • Mercury widgets - a new way to make interactive webapp from Jupyter Notebook
Aleksandr Sulimov

Aleksandr is a seasoned backend developer with a background in embedded development. He enjoys optimizing code and has a strong understanding of Python and the Asyncio library. As a Python developer on the Account & Subscription team at Kiwi.com, he maintains authentication and user data services. Aleksandr is also an active contributor to open-source projects. He is passionate about backend development and is eager to share his expertise with others at the conference.

  • Repid: new job scheduler with Asyncio in mind
Alexander Podkhalyuzin

I'm an experienced Software Engineer and Manager. I have been working at JetBrains since 2008. Led development of Scala and Kotlin plugins for IntelliJ IDEA. For a few years working as Customer Success Engineer helping Enterprise Customers with their significant problems.

  • PyCharm, let's discuss your problems
Anas El Amraoui
  • How to scale old Django apps for free
Aroma Rodrigues

Python Enthusiast, coding since 2014, it will be a decade next year. Yay! Multi-Pycon speaker engagements including India, South Africa, Europe, Sweden and Hong Kong. On the Natural Language Processing train since 2018. I do fun experiments, sometimes social with data, python and language models because I believe as do most multinational companies now, that the human condition is encoded in language, just as science in math, and it in inevitable that one day, we will be using computers to help us linguistically as they do mathematically.

  • I talk to ChatGPT about things
Ashmi Banerjee

Ashmi is a doctoral researcher at the Technical University of Munich, where her research focuses on Recommender Systems and Human-Computer Interaction. She graduated with a master's degree in Computer Science in 2019 from the same university.

She is passionate about using technology to automate tedious tasks and is always excited to tackle new technical challenges. Recently, she was honored with the DevelopHER Awards 2022 in the Emerging Talent category by DevelopHER UK. Since 2023, she also holds the title of Google Developer Expert (GDE) in Machine Learning.

As a Google Women Techmakers (WTM) Ambassador diversity advocate, she is dedicated to closing the gender gap in STEM through her involvement in various women in STEM networks.

When not sitting in front of her computer, she is either traveling or training to become a triathlete. 🏊‍♀️ 🚴 🏃‍♀️

  • The Ultimate Matchmaker: Building Recommender Systems with TensorFlow
Aurimas Griciunas

I have over a decade of work experience in various data related fields: Data Analytics, Data Science, Machine Learning, Data Engineering, Cloud Engineering. For three years I have led teams working with Data and Infrastructure.
Now, my goal is to help You Level Up and Succeed in these fields.

  • MLOps Fundamentals or What Every Machine Learning Engineer Should Know
Avision Ho

User-centred, product-driven and highly-collaborative, Avision deeply believes in the power of collaboration to create products and features that play a key role in making user’s lives easier and more seamless. He has given a variety of talks on why Nobel-prize winning algorithms are not always optimal for businesses; how you can build products to reduce barriers and reach users where they are; and how you can transform the customer experience with user-journey analytics and design.

  • Market attribution in an increasingly privacy-centric industry
Barbara Toporowska

I graduated in mathematics from the University of Warsaw. For the past year and a half, I've been working in BlackSwan Technologies as an AWS cloud administrator and CAIOS developer.

  • Domain Driven Design Meets Infractucture from Code: An AWS Credentials Management Case Study
Carsten Frommhold

Carsten works as a data science consultant for Datadrivers, a consulting company based in Hamburg.
After working in risk management and graduating in mathematics, he entered die field five years ago. He focuses on the development of end2end AI solutions for customers in various industries, preferably in the cloud.

  • Unlocking the Power of PySpark: A Comprehensive Workshop
Chang She

Chang is the CEO/Co-founder of Eto Labs and a co-creator of LanceDB, a new open source vector database that supports low-latency vector search on billion-scale vectors on a single node. Previously Chang was VP of Engineering at Tubi TV and was a co-author of the pandas library from 2009-2014.

  • Serverless billion-scale vector search for AI applications
Cheuk Ting Ho

Before working in Developer Relations, Cheuk has been a Data Scientist in various companies which demands high numerical and programmatical skills, especially in Python. To follow her passion for the tech community, Cheuk is now the Developer Advocate at Anaconda. Cheuk also contributes to multiple Open Source libraries like Hypothesis and Pandas.

Besides her work, Cheuk enjoys talking about Python on personal streaming platforms and podcasts. Cheuk has also been a speaker at Universities and various conferences. Besides speaking at conferences, Cheuk also organises events for developers. Conferences that Cheuk has organized include EuroPython (which she is a board member), PyData Global and Pyjamas Conf. Believing in Tech Diversity and Inclusion, Cheuk constantly organizes workshops and mentored sprints for minority groups. In 2021, Cheuk has become a Python Software Foundation fellow.

  • HTMX vs WASM - more backend or more frontend?
  • Driving down the Memray lane - Profiling your data science work
Dima Savostyanov

Senior Data Scientist at Nordcurrent. Before that, I was a Chief Product Officer and Head of ML at GOSU Data Lab. We built a Voice Assistant for Gamers. The company raised $5M in investments and was acquired in 2021.

  • How we predict purchases in mobile games
Dr. Thomas Wiecki

Thomas Wiecki is a co-creator of PyMC, the industry-standard tool for statistical data science in Python. To help businesses solve advanced analytical problems he founded PyMC Labs (www.pymc-labs.io) consisting of world-class experts in Bayesian modeling.

  • Bayes in Business: Transparent and Interpretable Solutions
Elijah ben Izzy

Elijah has always enjoyed working at the intersection of math and engineering. More recently, he has focused his career on building tools to make data scientists more productive. At Two Sigma, he was building infrastructure to help quantitative researchers efficiently turn ideas into production trading models. At Stitch Fix he led the Model Lifecycle team — a team that focuses on streamlining the experience for data scientists to create and ship machine learning models. He is now focusing on building out DAGworks, Inc, a YC-backed startup that aims to make it easier for data scientists to build and maintain ETLs for machine learning. In his spare time, he enjoys geeking out about fractals, poring over antique maps, and playing jazz piano.

  • Portable Feature Engineering with Hamilton: Write Once, Run Everywhere
Hila Israeli

Hila Israeli, a Senior Software Engineer with over 8 years of experience, a Scrum Master and a public speaker.
While working at OwnBackup she held a key role in building 3 different products from scratch to production.
Was a speaker at two big tech conferences and speaks and organizes meetups for women engineers.
Hila graduated Bs.C in Computer Science and Economics from Tel Aviv University.
Lives with her husband in Tel Aviv, is passionate about hiking, running, and, of course, learning new things.

  • One Platform for All: A Revolution for Customers, Developers, and Sales
Imaad Mohamed Khan

Imaad Mohamed Khan is a Data Scientist, ML Engineer and an Educator. He graduated with a Masters in Internet Technologies and Information Systems from TU Braunschweig, Germany. He earlier did his Bachelors in Electronics and Communication in India. He is currently a Machine Learning Engineer at Flix. Prior to that, he has worked at multiple big and small companies as a Data Scientist. He is also a Content Creator on LinkedIn and writes on topics related to Data Science, Machine Learning and Artificial Intelligence. He’s an Educator and a Speaker and has spoken at various workshops and conferences.

  • Production ready Machine Learning pipelines using ZenML for MLOps management
Juan Luis Cano Rodríguez

Juan Luis (he/him/él) is an Aerospace Engineer with a passion for STEM, programming, outreach, and sustainability. He works as Developer Advocate for Kedro, an opinionated data science framework, at QuantumBlack, AI by McKinsey. He has worked as Developer Advocate at Read the Docs, as software engineer in the space, consulting, and banking industries, and as a Python trainer for several private and public entities.

Apart from being a long-time user and contributor to many projects in the scientific Python stack (NumPy, SciPy, Astropy) he has published several open-source packages, the most important one being poliastro, an open-source Python library for Orbital Mechanics used in academia and industry.

Finally, Juan Luis is the founder and former chair of the Python España association, the point of contact for the Spanish Python community, former organizer of PyCon Spain, which attracted 800 attendees in its last in-person edition in 2022, and current organizer of the PyData Madrid monthly meetups.

  • Analyze your data at the speed of light with Polars and Kedro
Justinas Kuizinas

CTO at Corner Case Technologies
Python developer for over 7 years
AWS enthusiast and certified architect

  • Unleashing the Power of Domain Driven Design and AWS with Python microservices
  • Uncle Data session 2
Kang Min Bae

Kang Min is a software engineer with over three years of experience in technology industry. He has worked for IBM Quantum as a backend software engineer in the past and is currently working as a full stack developer for Bloomberg Indices.

  • Code More, Draw Less: Auto-Generate Software Architecture Visualizations ft. Graph DBs, pandas & Python
Karolina Griciunė

I am a seasoned data scientist with around ten years of experience in the field. I began my career as a data scientist and grew into positions as Head of Data Science and Head of Data, giving me a deep understanding of what it takes to deliver great data products. For the past five years, I have been mentoring individuals seeking to enter the data science world, and have helped guide them to success in this field.

  • How to Build a Data Science Portfolio That Will Make Recruiters Swipe Right
Linas Petkevičius

Researcher @Instutute of computer science, Vilnius university
Board member of Artificial intelligence association of Lithuania

  • Similarity search in practice or how AI can help in everyday’s life
Marc Garcia

pandas core developer, and founder of the London Python sprints group, where we helped hundreds of people become open source contributors.

  • Make your first open source contribution
Marc Garcia

Marc is a pandas core developer and the current release manager of the project. He is also an Ibis and ASV core developer, a fellow of the Python Software Foundation, and the VP of infrastructure at NumFOCUS. Marc works as an independent software and data consultant for clients such as Bank of America, Unilever, Bumble, Tesco and NTT Communications.

  • Uncle Data session 3
  • pandas 2.0 and the Arrow revolution
Marlene Mhangami

Marlene is a Zimbabwean software engineer, developer advocate and explorer. She is a previous director and vice-chair for the Python Software Foundation and is currently serving as the vice-chair of the Association for Computing Machinery practitioner board. In 2017, she co-founded ZimboPy, a non-profit organization that gives Zimbabwean young women access to resources in the field of technology. She is also the previous chair of PyCon Africa and is an advocate for women in tech on the continent. Professionally, Marlene is currently working as a Developer Advocate at Voltron Data.

  • Python and Creativity (An Explorers Guide)
Martin Turóci

Martin is currently a software engineer at H2O.ai where he tries to democratize the UI web development and bring it closer to Python world by working on H2O Wave, a framework for building beautiful web apps and dashboards. Open-source enthusiast, vim lover and jack of all trades. Author of VScode and Jetbrains plugins for H2O Wave. In his free time, he loves spending time with his wife and family.

  • H2O Wave - Build web apps with nothing but Python
Monika Venčkauskaitė
  • ML model serving and monitoring with FastAPI
Peter Vidos

Peter is the CEO & Co-Founder of Vizzu.

His primary focus is understanding how Vizzu's innovative approach to data visualization can be put to good use. Listening to people complaining about their current hurdles with building charts and presenting them is his main obsession, next to figuring out how to help data professionals utilize the power of animation in dataviz.

Peter has been involved with digital product development for over 15 years. Earlier products/projects he worked on cover mobile app testing, online analytics, data visualization, decision support, e-learning, educational administration & social. Still, building a selfie teleport just for fun is what he likes to boast about when asked about previous experiences.

  • Let them explore! Building interactive, animated reports in Streamlit with ipyvizzu & a few lines of Python
Piotr Płoński
  • Mercury widgets - a new way to make interactive webapp from Jupyter Notebook
Ritchie Vink

Ritchie Vink is the author of polars. He has a background in machine learning/ data engineering and software engineering.

  • Polars: done the fast, now the scale
  • Uncle Data session 3
Robert Hoffmann
  • CTO and Security Officer of ZealiD
  • Interested in secure and reliable software
  • Worked in many areas of Business Informatics and Security
  • Started in programming and system administration, moved into governance and management
  • The role and skills of the developer: Past and Future
Samuel Colvin

Open source Python and Rust developer, maintainer of Pydantic and other libraries.

Samuel recently founded Pydantic Services Inc. to build great developer tools by applying the same principles that have made Pydantic so successful.

  • Garbage in -> Pydantic -> you're golden!
Samuel Colvin
  • Uncle Data session 1
Sanskar Jethi

Sanskar is a Software Engineer at Bloomberg, London, during the day and a FOSS maintainer during the night. He is the author and maintainer of Robyn, which is one of the fastest web frameworks in the Python ecosystem. He has also recently created Starfyre, a web framework that allows you to create reactive web frontends in Python.
Sanskar loves attending, speaking, and organizing conferences and has actively participated in various Open Source conferences.

When not writing code or attending conferences, Sanskar enjoys designing, reading philosophy, and following the latest technological trends. These days, Sanskar is a big fan of chasing the pump and lifting heavy weights in the Gym!

  • Robyn: A fast async Python web framework with a Rust runtime
Shahriyar Rzayev

Senior Software Engineer @ Nord Security. Moving forward on Clean Code and Clean Architecture. Previous accomplishments include contributing to open source, providing technical direction, and sharing knowledge about Clean Code and Architectural patterns. An empathetic team player and mentor.
Azerbaijan Python Group Leader. Former QA Engineer and Bug Hunter.

  • Building Hexagonal Python Services
Tadas Pikutis

Developer -> BA -> PO -> SM -> CTO -> Contractor :)
https://www.pikutis.lt
https://www.webperformers.net

  • Largest B2B pharma marketplace online: 7 years effors redone in a year thanks to python
Tomas Peluritis

BI developer turned to Data Engineer with experience in data analysis and data science. Have experience with MS solutions to a lot of open-source tools work-wise. Free time - exploring different options to improve the company's infrastructure/toolset or learning new tech by writing about it.

Currently more focusing to the management track, though can't shake the need to get my hands dirty.

Podcasting and writing in English (on medium) and Podcasting about data (Lithuanian)

  • Is it the end for Apache Airflow?
Travis Oliphant

Travis Oliphant is the Founder and CEO of OpenTeams and Quansight. He has spent over 25 years in open source software scientific computing most notably as the creator of NumPy, SciPy, Conda, and Numba and as the Founder of Anaconda (Continuum Analytics), NumFOCUS, and PyData. He has B.S. degrees in Electrical and Computer Engineering and Math, as well as an M.S. in Electrical and Computer Engineering from Brigham Young University and a Ph.D. in Biomedical Engineering from the Mayo Clinic. He has passion for both thriving open-source communities and early-stage startups. He loves helping founders create and build open-source aligned businesses. He is interested in high-performance Python and enabling people to quickly build innovative software solutions while maintaining deep interest in areas besides programming.

  • Leader talks
  • Building sustainable software for AI and ML with lessons from the SciPyData community
Uncle Data

Uncle Data

  • Uncle Data session 3
  • Uncle Data session 1
  • Uncle Data session 2
Yash Saboo

Yash Saboo is a Software Engineer at Bloomberg, where he is focused on building highly-available, consistent, and reliable workflow platforms for Bloomberg’s Fixed Income Indices. Previously, he was a Computer Science grad student at the University of Illinois Urbana-Champaign. His work generally lies at the intersection of distributed systems, databases, and machine learning.

  • Code More, Draw Less: Auto-Generate Software Architecture Visualizations ft. Graph DBs, pandas & Python
Yuichiro Tachibana

Yuichiro works as a professional software developer and also loves contributing to OSS projects. As a Pythonista, he has participated in various projects including web development, multimedia streaming, data management, computer vision, and machine learning.

  • Streamlit meets WebAssembly - stlite