PyCon Lithuania 2024

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Adam Furmanek

I am Adam Furmanek, and I am a professional software engineer with over a decade of experience. In my career, I worked with all layers of software engineering and multiple types of applications, including logistics, e-commerce, machine learning, data analysis, and database management. I am always interested in digging deeper, exploring machine code, and going through implementation details to better understand the internals of the technologies I use every day. That's why I like debugging, decompiling and disassembling the code to understand memory models, concurrency problems and other details hidden deeply inside.

  • Lessons Learned From Maintaining SDK in Python for Three Years
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Adrin Jalali

Adrin is a scikit-learn maintainer and works on a few other open source projects. He has a PhD in Bioinformatics, has worked as a consultant, and in an algorithmic privacy and fairness team. He is now a cofounder at probabl.ai, where they work on enabling people to do statistically sane machine learning.

  • Revenue based scoring in `GridSearchCV`: a case for the new metadata routing in scikit-learn
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Albertas Gimbutas

A Tech Lead Python Engineer with a PhD in Informatics. Mainly specializes in back-end development using Django and Tornado frameworks and their related technologies like SQL/NoSQL databases, infrastructure as code and cloud providers.

  • Python package creation using bleeding edge toolset
  • Deadcode - a tool to find and fix dead (unused) Python code
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Antanas Daujotis

As a passionate technologist with 20 years of experience, I believe collaboration and leveraging individual strengths are key to success. My mission? To empower people with time-saving technology, freeing them to pursue their passions.

This talk tackles Python's limitations in AI development and introduces the Modular MAX Engine at PyCon LT 2024. Discover how MAX Engine unleashes Python's potential, offering blazing-fast execution, seamless code integration, and hardware flexibility. Let's unlock new possibilities in AI, optimize our time, and together, shape a future brimming with innovation and progress. Join me, and let's make every second count!

  • Unleashing Python's potential with MAX Platform
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Arjan Egges

I’m a software developer, educator, entrepreneur and content creator with a passion for building beautiful, efficient, and reliable software. I've completed a Master's and PhD in Computer Science and I have more than 20 years of teaching experience. I've launched several startups and designed and built complex software products from scratch. Now, I combine my different experiences in my YouTube videos on the ArjanCodes channel and I offer online courses for developers and companies.

  • LLMs: when to use them and when to avoid them
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Aurélien Massiot

After taking his first steps as a Data Scientist 8 years ago, and collecting a few medals in Machine Learning competitions, Aurélien Massiot gradually became interested in all areas related to Data Science: software craftsmanship, ops, methodology… For more than 6 years at OCTO Technology, he has supported and trained his clients on MLOps and data architecture. Aurélien also mentored OCTO’s Data & AI graduate program. He likes to transmit and disseminate the fruit of his research, whatever the medium: training, feedback or articles. Simplicity, a true leitmotif in accordance with his convictions, naturally permeates his sharing.

  • Coding a vector database from scratch
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Ben Clifford

Ben has worked as a programmer mostly in the fields of high performance computing and functional programming. He's mostly doing Python these days, but he's been paid for at least Haskell, FORTRAN and PHP. He's especially interested in bringing ideas from one language into another.

  • The Ghosts of Distant Objects
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Cristián Maureira-Fredes

Hello! My name is Cristián and I currently work as Sr. R&D Manager at The Qt Company. One of my main responsibilities is the Qt for Python project (PySide/Shiboken), which is the set of official bindings of the Qt Framework to Python. In my day to day, I work with C++, Python and CPython, which are usually the topics of my talks. In my spare time, I like to collaborate with Open Source communities, mainly Python such as Python en Español https://hablemospython.dev, Python Chile https://pythonchile.cl, Python España https://es.python.org, and conferences like PyConUS and Europython, and much more!

  • The role of Rust, Zig and C++ in the Python ecosystem
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Damian Wysocki

I’m a Python developer since 2017, I am deeply passionate about my craft and love sharing my knowledge with others. I find joy in constantly learning new things and staying up-to-date with the latest developments in the industry. In fact, I'm so passionate about sharing knowledge that I spend my free time mentoring aspiring developers in Python workshops in my hometown. I'm also an organizer of local IT meetups, where I get to connect with like-minded professionals and discuss the latest trends and challenges in our field.

  • Deep Dive into Asynchronous SQLAlchemy - Transactions and Connections
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Daniel Roy Greenfeld

Coder at Kraken Tech 🐙
Author of tech books 🤖
Husband of Audrey Roy Greenfeld🍪
Father of Uma 🧸
Former NASA coder 🚀
Lithuania is my homeland 🇱🇹

  • Keynote by Daniel Roy Greenfeld
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Dave Aronson

Dave is a semi-retired software development consultant (writing code and giving advice about it), with 38 years of professional experience in a wide variety of languages, techniques, domains, etc. He is the T. Rex of Codosaurus, LLC (his one-person consulting firm, which explains how he can get such a cool title, at https://www.Codosaur.us/) near Washington, DC, USA. His main focus in software lately is to spread the gospel of quality, including defining what that even means, and talking about techniques to achieve it. In his spare time, he brews mead, teaches others how -- and speaks at conferences.

  • Kill All Mutants! (Intro to Mutation Testing)
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David Berenstein

Hi there 👋

From failing to study medicine ➡️ BSc industrial engineer ➡️ MSc computer scientist.
Life can be strange, so better enjoy it.
I´m sure I do by: 👨🏽‍🍳 Cooking, 👨🏽‍💻 Coding, 🏆 Committing.

  • 🧼 From GPU-poor to data-rich: data quality practices for LLM fine-tuning
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David Hewitt

David is a Staff Software Engineer at Pydantic and lead maintainer of PyO3, and a Python developer for a decade. Ever since discovering Rust shortly after its 1.0 release in 2015 David has been passionate about using Rust as well as Python. In 2019 David found PyO3 needing more contributors and previous experience working in a mixed Python/C++ codebase had left him with plenty of ideas of how Rust & Python can flourish together. Nowadays Rust is powering the core of many Python packages and David works to continue to build this growing ecosystem.

  • Using Rust & PyO3 to make Pydantic v2 even faster
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Dr Piotr Gryko

Dr Piotr Gryko, studied experimental physics at University College London. His PhD at Imperial College London focused on using biomaterials to self assemble inorganic materials, merging the boundaries of biological systems and machines.

He now specializes in writing software, having worked with image processing, e-commerce, logistics, embedded systems and web development. Always keen to keep learning, he writes open-source code to further develop his understanding of new technologies.

Core technologies:

  • Web development (Django)
  • Front end web development (reactjs, redux + material ui)
  • Data analysis (python, numpy, pandas, jupyter notbooks)
  • Devops & sysadmin work (docker, jenkins, digital ocean, postgres replication, ansible, elastic stack)
  • Embedded development (C++, arduino, ESP8266, ESP32)
  • Scaling, Refactoring and fixing a Django MVP for Production
  • Building and Scaling an AI Startup with Async Django
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Eimantas Nėjus
  • Django + HTMX: Democratise Full Stack Web Development
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Einat Orr

Oz Katz is the Co-Creator of the open source lakeFS Project, an open source platform that delivers resilience and manageability to object-storage based data lakes, as well as the CTO and co-founder of Treeverse, the company behind lakeFS. Oz engineered and maintained petabyte-scale data infrastructure at analytics giant SmilarWeb, which he joined after the acquisition of Swayy.

  • Data Version Control Done Right with Python and Unity
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Eli Holderness

Eli is a freelance developer advocate, software developer, technical writer, and speaker for hire. They run workshops, build things, and tell cool stories.

Since being released back into the wild from university 7 years ago, they've bounced around a few different industries within tech - telecoms software, analog circuit design, and cloud computing to name a few. They love learning new things and teaching other people about them. When not coding or conferencing, they can be found at home hanging out with their cat, knitting, and trying to stop their cat from eating their knitting.

  • Pointers? In My Python?
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Emmanuel-Lin Toulemonde

Emmanuel-Lin Toulemonde is looking for two things: learning and sharing.

He has been working in Data Science since 2014 and in software development since 2017. He is currently MLOps manager at OCTO Technology and trainer at OCTO Academy.

He carries out and helps to carry out projects involving data or Machine Learning. Looking for better ways of doing things, he learns from other disciplines. He strives to give back to the community what he has learned in the form of an article, a book and here a conference.

His subjects of interest are: data science, MLEng, MLOps, monitoring data science systems, interpretability of data science systems, software development, emergent architecture, agility, etc.

  • [MLOps] CI/CD in the age of Machine Learning
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Fabien Vauchelles

Fabien Vauchelles is the Anti-Ban Expert at Wiremind. With over a decade of experience in web scraping, Fabien's passion for code and technology helps him to bypass bans. He is the creator of Scrapoxy, an opensource proxy aggregator for webscraping.

He had the opportunity to speak at Devoxx FR, Zyte’s Extract Summit and Voxxed Days.

  • Mastering Web Scraping: Unleash Your Data Extraction Wizardry!
  • Cracking the Code: Decoding Anti-Bot Systems!
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Francis Billa

Francis is a software engineer with Shell having experience in several languages and tools. He has in multiple domains like - infrastructure, automation, education and others. Majorly, he has been working as a full stack (backend and frontend). He is passionate about Community Building, Programming and Infrastructure. He strongly believes in the power of community and spends his free time contributing towards the Tech Community like Python Software foundation (fellow), Google developers group, Women In Data Science, etc.

  • Pythonic Insight: Navigating the Depths of Observability.
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Franz Haas

Career.:
- 2013-present application engineering and validation/verification engineering at ams-osram
- 2011 – 2013 home automation at intrate(c)
- 2010 – 2011 RMA engineer at infineon
- 2009 graduation at the university of applied sciences FH JOANEUM
- 2007 – 2010 mixed signal ASIC development at FH JOANEUM
- 2008 participation at the CERN Summer Student programe
- 2001 – 2005 industrial automation at intrate(c)

  • analyzing stdf production test data in the silicon manufacturing industry using construct
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Gabriel Martín Blázquez

Gabriel is a Machine Learning Engineer focused on NLP. From academia to industry, he is now working on Argilla, where we have contributed to the backend of Argilla and also in the development and design of distilabel, a library for generating synthetic data using LLMs.

  • 🧼 From GPU-poor to data-rich: data quality practices for LLM fine-tuning
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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
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Isaac Chung

I lead applied research efforts for our EMEA team to scale AI for production loads at Clarifai. My team has been solving search/ranking, retrieval, and multimodal problems. Previously I was leading the effort in developing custom ML solutions for enterprise customers.

  • Speed up open source LLM-serving with llama-cpp-python
  • Transcend the Knowledge Barriers in RAG: Setup, Chat State, and More
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Jan Bartnitsky

Graduated from Mechanics and Mathematics faculty of BSU in 2014.
Developer at flespi, Gurtam since 2016.

  • RAG on KDTree
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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.

  • Let’s create a Python Debugger together
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Jonas Jarutis
  • ML Model Serialization: Improving Efficiency and Flexibility
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Julius Boakye

I am currently a dedicated Computer Science student in my third year at Accra Technical University, located in the vibrant city of Accra, Ghana. As a passionate software engineer, I specialize in Python and Django, with a knack for crafting robust APIs using Django Rest Framework.

My journey in the realm of software engineering has been marked by the creation of some exciting projects using Django and Django Rest Framework. Leveraging third-party libraries and exploring Infrastructure as Code (IaC), I've ventured into the world of cloud computing for efficient storage solutions and more.

Beyond academics, I serve as the Google Developer Student Club lead for my campus, fostering a community of eager learners and enthusiasts. Additionally, I take pride in being the Lead Influencer of Crowdsourc eby Google, where I organize engaging Machine Learning workshops and guide individuals in contributing to Google AI initiatives.

At the forefront of community building, I lead PyClub on my campus, advocating for the versatility of Python through workshops and insightful discussions. As a Campus Ambassador for PayBox Global, a fintech company, I bridge the gap between technology and finance, bringing innovative solutions to my campus community.

My journey is fueled by a passion for technology, a commitment to community empowerment, and a belief in the transformative power of Python. I look forward to continuing this exciting journey and contributing meaningfully to the world of technology.

  • FastDjango: Conjuring Powerful APIs with the Sorcery of Django Ninja
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Justinas Kuizinas

CTO @ CornerCaseTechnologies
Python tamer
AWS enthusiast
VilniusPy organizer

  • Lessons (I Wish I Knew These Before) from Migrating a Farm of Django Projects from On-Premises to AWS with Kubernetes
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Laimonas Sutkus

More than a decade in the IT industry. 5+ years as a CTO.

  • Object Oriented Programing the way it should be
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Laysa Uchoa

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

  • OpenSearch, Python, and Serverless for Modern Search Applications
  • Saying bye to the Keyboard, Hello to Alexa with Python AWS Lambda
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Luca Baggi

ML Engineer

  • functime: a next generation ML forecasting library powered by Polars
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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).

  • DataFrame interoperatiblity - what's been achieved, and what comes next?
  • Introduction to Polars DataFrames - how to supercharge your data workflows
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Maria Jose Molina Contreras

She is a passionate biotechnologist, working as a Sr. Data Scientist in Berlin. In her spare time, she loves to develop projects that are beginner-friendly, even with complex topics. She is an active member in the Python Berlin communities, helping to organize workshops and participating actively in mentoring newcomers (specially, people who are changing from career path) and giving talks in many local communities like PyLadies and also in international conferences. Moreover, she participated in the python documentation translation (English-Spanish) and I am coordinator in the discord channel of Python en Español

  • Customizing LLMs: A Guide to Fine-Tuning Open Source Models
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Martynas Venckus
  • 2021/2022, Imperial College London, MSc Health Data Analytics and Machine Learning. Graduated with distinction.
  • 2022 July, Data Science Internship at AstraZeneca in Cambridge, UK. Improved AFT survival analysis models to predict chronic kidney disease progression.
  • 2022 October/now, working as a Data Scientist in Telesoftas. Tech stack: python, databricks, pyspark, mlflow, tableau, neo4j.
  • Making an e-shop search bar your friend with Pinecone's hybrid search
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Matthew Honnibal

Matthew Honnibal the co-founder of Explosion and a leading expert in AI technology, known for his research, software and writings. He completed his PhD in 2009, and spent a further 5 years publishing research on state-of-the-art natural language understanding systems. Anticipating the AI boom, he left academia in 2014 to develop spaCy, a popular open-source library for industrial-strength Natural Language Processing.

  • Designing for tomorrow's programming workflows
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Maxim Danilov

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

I start 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.

  • Django FTL: Resolving bottlenecks on the path to high performance.
  • Simplifying large Python projects by distributing complexity.
  • µDjango 2.0, an asynchronous microservices technique.
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Maxim Zaks

A versatile software engineer with more than 15 years of professional experience, having worked for both major corporations and startup ventures. Currently, his main area of expertise lies in data engineering, although he has previously contributed to a wide range of projects, including mobile app development, building integrated development environments (IDEs), crafting web applications (both frontend and backend), and even creating games.

  • Is Mojo just a hype?
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Monika Venčkauskaitė

AI and MLOps practitioner, leading AI in cyber security research project at BPTI and mentoring students.

  • Aligning and Using an Open-Source LLM
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Nir Ozeri

Nir Ozeri is a seasoned Software Engineer at lakeFS. Over the last decade, he has worked on many different parts of the tech stack from firmware and storage drivers all the way to cloud native systems such as lakeFS, where he is a core member of the development team. Outside the tech realm, Nir's world takes a splash in the water. When he's not crafting code, you'll find him above or beneath the waves, whether it's SCUBA or free diving, riding the waves while surfing, or simply hanging out with his canine companion at the beach. Nir believes that just as in coding, the depths of the ocean hold endless mysteries waiting to be explored, and every wave carries its unique rhythm – much like lines of code waiting to be written.

  • Data Version Control Done Right with Python and Unity
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Peter Vidos

Peter, the CEO, and Co-Founder of Vizzu, is on a mission to redefine how we perceive and interact with data. His passion lies in uncovering innovative solutions to the challenges faced by data professionals when it comes to chart creation and presentation.

With over 15 years of experience in digital product development, Peter's career has spanned a wide array of projects, from mobile app testing to online analytics, decision support systems, and e-learning solutions.

In his current role at Vizzu, Peter is dedicated to driving innovation in data visualization and empowering data professionals to effortlessly convey their insights through interactive and animated data stories.

  • Transforming Data Insights: Creating Dynamic Animated Stories with Python and ipyvizzu-story
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Ritchie Vink

Ritchie Vink is the Author of the Polars DataFrame library. Originally he has a background in Civil Engineering, but he soon made the switch to Data/Software development. He has worked as a Machine Learning Engineer and a Software Engineer for 5 years, before he spent all of his time to Polars project. Those years have been filled with side projects to feed his curiosity. In present times he is the CEO of the newly started Polars Inc.

  • Keynote Polars
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Robert Dzisevič

I'm a Senior Data scientist at IBM Lithuania with deep expertise in app development, app deployment, Natural Language Processing, neural networks and GenAI projects delivery. I have 6+ years proven expertise in Data science and delivering AI solutions.

  • Watsonx: A GenAI platform that's built for business
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Robert Smallshire

Robert has been working with Python for 25 years in the energy and ed-tech sectors, understanding, designing, advocating and implementing effective architectures for sophisticated scientific, enterprise and media production software in Python. He believes in the necessity of a strong engineering culture and enjoys performing the coaching and training necessary to achieve one, while being deliberate with the many and complex trade-offs involved in delivering complex – but not complicated – systems. His most recent venture is with video content production systems, largely implemented in Python.

Over the last decade, Robert’s Python training courses on Pluralsight have often been in the top-five most popular and have accumulated 1.9 million hours of view time and reached over 1 million paying subscribers. He is co-author of The Python Apprentice, The Python Journeyman, and The Python Master trilogy.

  • Dancing with Design
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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
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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 https://mathspp.com/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.

  • What are descriptors and why does Django need them?
  • 503 days working full-time on FOSS: lessons learned
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Romualdas

I'm Chapter Lead @ Developer Journey Automation squad at Danske Bank overseeing our Private/Public cloud portal backend development, Terraform stack.

My main focus areas within the bank are enabling automated bank wide migration from Private data centers to Public Cloud. Establishing automated golden paths for modern applications development through Internal Developer Portal, Platform Engineering.

Technologies I work with the most: Python, Go, Django REST framework, Kubernetes, Docker, Terraform, RHEL, RabbitMQ, AWS.

  • Python behind the scenes of Danske Bank's Cloud Migration at Scale
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Tadas Gedgaudas

From the very beginning of his software development career, Tadas focused on web data extraction. In fact, his very first project was a web scraper. As a web scraping engineer, Tadas is product-minded and, one could say, obsessed with making software as performant as possible. In turn, he practices productivity tracking and even dedicates his pastime to crafting an open-source ML-powered data parsing library.

  • How to Utilize Machine Learning for Better Web Scraping
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Tadas Korris

Tadas (Taddes) Korris is a software engineer at Mozilla who works in the Contextual Services team for Firefox, where he writes and maintains code that millions of users use daily. His team helps provide users valuable suggestions to make the browsing experience better while maintaining privacy. He strongly advocates for online privacy and security, with expertise in developing secure software throughout its lifecycle. He has the Security+ certification and is actively working towards several other certifications to develop his skills in security engineering.

Tadas was born to a Lithuanian-Canadian family in Toronto and grew up in Edmonton. His family maintained close cultural ties to the local Lithuanian community and Tadas learned to speak Lithuanian and participated in cultural activities.

His professional life began as a professional classical musician, attending the Manhattan School of Music in New York City for his Bachelor’s and Maser’s Degrees. He then attained a diploma from the University of North Carolina in Web and Software development in 2018 and joined Passport, a tech and transportation company. He joined Mozilla in 2022 and retains musical ties as a regular substitute musician with the Charlotte, North Carolina and Charleston Symphonies.

  • How we Develop and Maintain a Modern Python Service at Mozilla: Merino as Example
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Tom
  • Encode OSS: Funding open source development
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Tomáš Neubauer

Tomáš Neubauer is a co-founder and CTO at Quix, where he works as the technical authority for the engineering team and is responsible for the direction of the company across the full technical stack. He was previously technical lead at McLaren, where he led the architectural uplift of the real-time telemetry acquisition platform for the Formula 1 racing team.

In his spare time, Tomáš likes to go mountain biking in the hills around Prague, and he loves to ingest the finest beer that Czechia has to offer.

  • Streaming DataFrames: A New Way to Process Streaming Data in Python
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Tomas Peluritis

I'm a Data Engineer with a diverse background, transitioning from a Data Analyst to a Team Lead and Head of Data before returning to my roots. I have a knack for numbers and a passion for coding, constantly seeking optimal solutions and driving continuous improvement.

With expertise in data pipelines, orchestration, SQL, and strong communication skills, I excel in leading and mentoring teams. I've been fortunate to contribute to multiple data migrations and projects, including building some from scratch.

Outside of work, I thrive in fast-paced environments, embracing new challenges and staying updated with the latest technologies through side projects. I share my knowledge with the community through my podcast and blog, 'Uncle Data,' where I discuss all things data-related.

  • Write-Audit-Publish Pattern in Modern Data Pipelines
  • Data Processing with Apache Spark and Apache Iceberg
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Trevor James Smith

Trevor James Smith is a climate change research software developer in Montreal, Quebec. He holds a B.Sc. Hons. in Environmental Sciences and Political Science and an M.Sc. in Geography, Planning and Environmental Studies from Concordia University. Trevor has worked in various fields as a contract researcher examining Canadian telecommunication infrastructure, indigenous-led GIS/mapping initiatives, and environmental disaster hazard and risk mapping. For the past 5 years, he has been a member of the climate platforms, data, and operations team at Ouranos Inc.

  • Building Open Climate Change Information Services in Python
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Tung Hoang

I am a seasoned software engineer with an international footprint in Forbes 500 companies as well as VC-funded scale-ups in Europe and North America.

I have spent most of my career till now building resilient data and machine learning platforms. Most of them fail, some of them success but all of them give me lessons to learn from.

One of my success is being part of the team who built Komodo Health’s critical AI-fueled data analytic platform to actually save people. Our platform reduces the burden of disease research and reduce the cost of drug manufacturing and delivery.

Previously at Jellysmack, I worked on the core infrastructure team who scaled the data platform for a company who went from greenfield to unicorn startup in 2 years.

A part from that, I am a birds’ lover, an animal enthusiast, a day dreamer and a mediocre Judo player.

  • Grokking Event-Driven Web App with Python
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Vytautas Bielinskas

I'm Senior Data Scientist at IBM Lithuanian with PhD in Technology sciences. In the recent years my main focus areas are GenAI with Large Language Models, Natural Language Processing/Understanding, computer vision, and MLOps. I also 2x is AWS certified in Machine Learning and DevOps.

  • Generative AI in Lithuanian language
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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.

  • Your proposal: Data Harvest: Unlocking Insights with Web Scraping
  • Saying bye to the Keyboard, Hello to Alexa with Python AWS Lambda
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Zoe Steinkamp

I'm Zoe Steinkamp, a Developer Advocate for InfluxData with a background in front-end software engineering. I'm passionate about making developers' lives easier and helping them engage with InfluxData's database platform, open-source tools, and time-series data solutions. I also have a keen interest in data science. Outside of work, I enjoy traveling and gardening. Feel free to connect with me on LinkedIn, and I look forward to sharing insights and knowledge at virtual and in-person events.

  • A 101 in time series analytics with Apache Arrow, Pandas and Parquet