PyCon Lithuania 2026

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Aidis Stukas

Aidis Stukas is a Python Software Foundation Fellow, CTO at EnforceShield, and the organizer of PyCon Lithuania. With a philosophy background and over a decade in Python, he explores machine learning and agent-based modelling from his home base in Kaunas.

  • LLM Agent Patterns — A Python Developer's Vocabulary
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Alex Marmuzevich

I am a software professional and solution architect with 30+ years of experience in IT. I have been developing in Python since 2010. Prior to that, I worked extensively with ASM, C/C++, C#, etc.
I have been actively using AI in software development since 2023. At present, up to 80% of my production code is written with the help of AI agents. My main focus is on applying AI-assisted development practices in a disciplined, engineering-driven way.
I am an AI Ambassador at EPAM, where I promote practical adoption of AI tools and workflows in everyday software engineering.

  • AI-Assisted Development in Practice: Chatbot + Agentic Testing from Scratch
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Antanas Baltrušaitis

After 18 years in the data and analytics industry - spanning roles from banking strategy at Nordea to Head of Data at Luminor and Girteka - I made a conscious decision to step out of the corporate world.

Why? Because my skillset doesn't fit a standard job description.

I am a true Generalist in a world that often tries to specialize. I don’t just analyze data; I engineer the pipelines, write the code, design the UI, and map the business strategy. I realized that my ability to manage the entire data journey - from raw SQL to the final user experience - was best utilized in building my own solutions rather than managing narrow slices of corporate infrastructure.

Today, I am fully dedicated to Product Development. I build software where data isn't just a byproduct; it is the core engine.

My flagship product, Scoris, is Lithuania's premier open business data aggregator, built on the belief that public data should be accessible and actionable. I also created Oriux, a weather app designed for precision. Few other massive products about to launch soon.

I bridge the gap between complex data engineering and tangible business value. I am no longer just advising on strategy; I am executing it, line by line and database by database.

  • Cloud Data Solutions Are Overrated: Building a Pan-European Business Database for Lunch Money
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Antanas Daujotis

With over 20 years in the trenches of engineering, he now focuses on the messy reality of getting agentic systems to work in production.

  • Context Engineering with DeepAgents: Write, Select, Compress, Isolate
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Antonino (Nino) Cangialosi

Hi there, I'm Nino!
An Italian-Finnish theoretical physicist turned into a Software Engineer for a living.

My relentless curiosity drives me to continuously explore new languages and frameworks. Over the past five years, I've thrived in roles ranging from DevOps and Full-Stack to Platform and Big Data Engineering.

When I'm not diving into data, you can find me challenging gravity with bouldering, centering my mind through yoga, or strategizing my next chess move.

  • Master the Art of Schema Dissection: Operation Data Engineer
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Artem Konotpchyk

I am a Data Scientist and AI Engineer at IBM, where I work on machine learning systems and applied AI in production environments. My day-to-day work focuses on building, deploying, and evaluating ML models, while also exploring emerging computational approaches that challenge classical assumptions.

Alongside classical machine learning, I work with quantum computing and Quantum Machine Learning, with an emphasis on practical experimentation rather than theory alone. I have delivered a hands-on quantum computing workshop at IBM, introducing quantum concepts through runnable code and real examples. Using Qiskit, I design and test hybrid quantum–classical workflows, compare them with classical baselines, and analyze the effects of noise, limited qubit counts, and current hardware constraints.

  • Quantum Machine Learning with Qiskit
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Artsem

Data Engineer with passion to Data Quality. Experience in Azure, AWS, Python, Databricks. Head of DQ department in EPAM Lithuania & Latvia with 20 people headcount

  • Python for Data Quality in 2025: Why tests alone are no longer enough
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Aurimas Griciunas

TBD

  • Leading Through the Shift: What Engineering Leadership Actually Looks Like
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Cheuk Ting Ho

After having a career as a Data Scientist and Developer Advocate, Cheuk dedicated her work to the open-source community. Currently, she is working as a developer advocate for JetBrains. She has co-founded Humble Data, a beginner Python workshop that has been happening around the world. Cheuk also started and hosted a Python podcast, PyPodCats, which highlights the achievements of underrepresented members in the community. She has served the EuroPython Society board for two years and is now a fellow and director of the Python Software Foundation.

  • Friend or Foe? AI at Play in Cybersecurity
  • Are we free-threaded ready? Looking at where free-threaded Python fails
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Christian Heitzmann

Christian Heitzmann, MSc ETH CSE, is the founder and owner of SimplexaCode AG, based in Lucerne, Switzerland. He is a certified software developer in Java and Python, holding teaching diplomas in both Computer Science and Mathematics, as well as a CAS in Machine Learning. With over 20 years of experience in software development and 12 years of teaching Java, Python, mathematics, and algorithms, Christian is also a regular contributor to IT journals, sharing his expertise in the field.

  • Documenting Python Code—and Whether AI Can Really Help
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Denis Filiakin

I'm a Senior Software Engineer with a heavy focus on Python web development and banking.
For more than 8 years I work with the biggest companies on market learning from their best and worst practices

  • An Art of Privacy
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Dmitri

Lead systems engineer with more than 20 years experience in IT:
- 3 years in AI-based solutions development;
- 8 years of S-SDLC methodology implementation;
- 7 years of security architecture development;
- 4 years Experience in the development of the scalabale solution for the non-functional testing using private clouds AWS based APIs
- solid knowledge of building secure and resilient architectures in multi-cloud environments
- 9 years of experience in consulting services for the external and internal EPAM accounts
- 6 years of experience in project and team management
- 8 years of experience in solutions architectures development and deployment
- 10 years security concepts and tests development including regular security audits
- 8 years of experience of developing and deploying Continuous Delivery and Continuous Integration concepts
- Experience in processes development
- 10 years developing and deploying Unix/Linux based infrastructures

  • Engineering Complex AI solutions: Observability and Testing of multi-Agent Solutions
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Egidijus Pilypas

Egidijus Pilypas is Co-founder and Product Director at Exacaster. He has been working with AI and machine learning for over 15 years, spanning telecom, retail, finance, and utilities - long before it became a buzzword. His focus has always been the hard end of the work: the messy data, the legacy systems, the delivery challenges that others avoid.
At PyCon Lithuania 2026, Egidijus will share hands-on lessons from using AI to tackle exactly those kinds of challenges, and why the toughest projects might now be the most interesting ones.

  • Attacking Toughest and Messiest Tech Challenges with AI
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Ekaterina Korolkoviene

I’m a data engineer who builds tools, systems, and platforms — and enjoys watching them come alive brick by brick. I started as a data analyst, fell in love with Python, and gradually shifted from thinking in tools to thinking in systems and outcomes. I care deeply about automation, observability, and how all the moving parts fit together. Most of what I’ve learned comes from building things in production, fixing what didn’t work, and understanding code beyond the surface.

  • It’s Just Code: Library Dismantling 101
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Eric Thanenthiran

I lead Engineering at StellarGlyph, a Data and AI agency. We act as an interim/fractional data team and are passionate about helping clients through building modern data and AI platforms.

With a background in mechanical engineering and have worked across a range of sectors including sustainability, energy, property, construction and architecture. I am an engineer at heart and love building.

  • Infrastructure as Python: Pulumi for Cloud Deployments
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Fabien Vauchelles

Fabien Vauchelles brings 20+ years of experience in product design and software development. He holds a dual degree from Université Paris-Sud in Engineering and Master Research in Distributed Systems.

A serial entrepreneur, Fabien has founded three companies including Zelros, where he served as CTO for six years building the AI platform from scratch. He is now CTO and Co-founder of an AI startup, applying vibe coding principles daily.

Recognized internationally as an expert in AI, distributed systems, and data science, Fabien has spoken at conferences in 15+ countries on topics including web scraping, anti-bot systems, and open-source tooling.

He is also the creator of Scrapoxy, a popular open-source web scraping tool.

  • What It Means to Be a CTO in an AI Startup Today
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Federico Marchesi

Hi, my name is Federico Marchesi. During my career, I have had the pleasure to work with a variety of different ML systems, ranging from complex OLAP systems, distributed Machine learning inference platforms, and I have also touched the rise of modern data lakehouses. I’m especially passionate about data, which I believe is the foundation of modern software, not just in ML. Outside of work, I enjoy staying active through MTB, swimming, and running. I’m also a passionate motorsport enthusiast.

  • Data versioning
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Gabriele Orlandi

AI scientist at xtream

  • Reading the Mind of an LLM
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Gediminas Sadaunykas

AI Tech Lead and Data Scientist, with over 10 years of combined experience, in various domains including facilities management, medical information, sports and global consumer app business. Founder at AimRank, AI Innovation Labs, specializing in ranking systems.

  • From Sports Stats to AI Safety: The Ranking Renaissance
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Geoffrey Huntley

Geoffrey Huntley is a software engineer who has been writing prolifically and delivering keynotes internationally about AI's impact on software development and society. He discovered the Ralph/Claude loop approach nearly a year before it went viral and has focused on education, teaching juniors to pay attention, and pleading with people to invest in themselves. His work explores what it means to be a software developer when the cost of development has fallen below minimum wage, and how model-first companies are reshaping the unit economics of business.

  • Software Development Now Costs Less Than Minimum Wage
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Graham Lyons

Graham Lyons is a software generalist with a fondness for Python and nearly 20 years of professional experience. He has worked for the BBC and eBay, amongst other companies, and has been working freelance since 2017. Graham is very keen on writing tests before code and all other aspects of the software development lifecycle that make it possible to deploy to production as soon as possible.

  • Lessons Learned using FastAPI in the Wild
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James Donahue

Raised in Nashville, Tennessee, USA, I have bounced around the world, finally settling in Hamburg, Germany. My professional background reflects my vagabond nature. I taught English in Asia, Latin America, and online (full-time remote work before Covid!), worked in adventure tourism in Appalachia (USA) and Chile, and did my masters in Economics in Hamburg. Somewhere along the way, I gathered a few stories and soft skills.

I met Python during my masters, but stuck with Matlab through the my PhD coursework, until I decided that academia is not my forever home. Currently I am occupying myself with ensemble methods such as XGBoost, as well as expanding into computer vision with PyTorch and toying with more advanced data visualizations. Naturally, NumPy will always hold a special place in my heart, along with the Cython package to sample everything a Bayesian needs.

  • LLMs through my last 3 professions: an interdisciplinary approach
  • Stats Meets ML - What I learned from my Machine Learning Certification
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Jarek Potiuk

Independent Open-Source Contributor and Advisor, Committer and PMC member of Apache Airflow, Member of the Apache Software Foundation, Security Committee Member of the Apache Software Foundation. Organizer of community-focused events, speaker.

Jarek is an Engineer with a broad experience in many subjects - Open-Source, Cloud, Mobile, Robotics, AI, Backend, Developer Experience, Security, but he also had a lot of non-engineering experience - building a Software House from scratch, being CTO, organizing big, international community events, technical sales support, pr and marketing advisory but also looking at legal aspects of security, licensing, branding and building open-source communities are all under his belt.

With the experience in very small and very big companies and everything in-between, Jarek found his place in the Open Source world, where his internal individual-contributor drive can be used to the uttermost of the potential.

  • Death by a Thousand Prompts: Can Our Disclosure Standards Survive AI Slop?
  • Modern Python monorepo for Apache Airflow
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Jaunė Malūkaitė

I am a happy software engineer (AI/ML) at CommonAI CIC based in Cambridge. The startup is completely new and founded by Cambridge University Computer Science department professors! Also, this October I graduated from MPhil in Data Intensive Science with Distinction at the University of Cambridge.

Before coming to the United Kingdom, I have worked as a Data Scientist at IBM Lithuania for almost 2.5 years and conducted research on transformer capabilities to classify ECG data at the Institute of Data Science and Digital Technologies in Lithuania.

Now during my spare time, I am contributing to open source projects and am learning more in depth about multi-agent systems and CUDA. Also, I am a part of Cambridge Enterprise entrepreneurs program and am preparing for my first triathlon!

  • From experiments to systems: DS lessons for better software engineering
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Jonas Adomaitis

Jonas Adomaitis is a Senior Data Scientist and People Manager at IBM Lithuania. He holds a Bachelor of Science in Computer Science and Mathematics from The University of Edinburgh. Jonas is a highly active member of the global quantum community, serving as a member of the Qiskit Advocate program and the Co-lead of IBM’s Quantum Club.

His technical expertise encompasses Agentic AI, NLP, and Explainable AI (XAI), with a focus on delivering advanced analytics for the financial and government sectors. Jonas’s contributions have been recognized with several distinctions, including the 2025 Quantum Excellence designation from the Qiskit Global Summer School and the IBM Quantum Challenge 2024 Achievement.

  • Quantum Machine Learning with Qiskit
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Jonas Lekevicius

Host of "Du Bitai" podcast / Co-founder of Lithuanian Artificial Intelligence Association / Vibecoder at Silent

  • AI Agents: risks and legal
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Juan Luis Cano Rodríguez

Juan Luis (he/him/él) is an aerospace engineer with a passion for tech communities and sustainability. He is currently working at Canonical as Developer Success Engineer, dedicating his time to amplify the global impact of open source. Juan Luis has a decade of experience as developer advocate, software engineer, and Python trainer in several industries, in companies of the likes of McKinsey, Read the Docs, Satellogic, Telefónica, and others.

PSF Fellow since 2017, he has made significant contributions to the PyData stack, published several open-source packages, and organized the first seven PyCons in Spain. Currently, he is the lead organizer of the PyData Madrid monthly meetups.

Obsessed about systemic change and looking for a way to live within our planetary boundaries ♻️

  • How I mapped 10 000 illegal Airbnbs with Python
  • The year of [packaging your Python app for] the Linux Desktop
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Justinas Kuizinas

I'm a Head of Engineering at CoinGate, a crypto payments fintech based in Vilnius. In my experience I've been in various roles: starting as a developer and even testing myself in C level role. I'm most energized when a technical team and a product team stop being two separate things and start building as one.
Outside of work, I organize VilniusPy — local Python meetups where developers meet, chat, and share what they're actually working on. I also speak at conferences, because the best way to keep learning is to put your thinking in front of a room.

  • Leading Through the Shift: What Engineering Leadership Actually Looks Like
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Kader Miyanyedi

I have been a backend developer for 4 years, working primarily with Python and Django. I enjoy sharing what I’ve learned at previous PyCon talks and through writing on Medium, helping others improve their coding and AI skills.

  • A Practical Guide to Testing with Pytest, Faker, and Hypothesis
  • Measuring Experiments in LLMs: A/B Tests and Automated Testing
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Karolina Griciunė

TBD

  • Leading Through the Shift: What Engineering Leadership Actually Looks Like
  • AI Agents: risks and legal
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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.

  • Claude Code Conspiracies
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Kęstutis Gadeikis

Kestutis Gadeikis (PhD, EMBA) is the Chief Actuary and Data Governance Manager at Lietuvos Draudimas (PZU Group), the insurance market leader in the Baltics. With a PhD in Mathematics and an EMBA, he specializes in finding the right balance between the data analysis and the impactful presentation of its results.

  • Beyond the Static 2D Plot - Spatial Data Storytelling in 4D
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Linas Petkevičius

Head @Instutute of computer science, Vilnius university
President of Artificial intelligence association of Lithuania

  • AI Lithuania Summit
  • AI Agents: risks and legal
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Luca Baggi

AI engineer @xtream and open source contributor

  • From OpenAI to DeepSeek: New Scaling Laws for LLMs that can Reason
  • Reading the Mind of an LLM
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Manta Ribkauskyte
  • Quantum Machine Learning with Qiskit
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Marat Saidov

Marat Saidov is a Senior Software Engineer at Applied Sciences Group, Microsoft. Based in Belgrade, Serbia. Previously improved Speech Recognition and Natural Language Understanding services at Alice Voice Assistant, Yandex. Besides that, he was an NLP Research Assistant at HSE University, Russia.

  • From Data Collection to Partner Delivery: Shipping a Paraphrasing Skill on Small Language Models
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Mark Smith

Mark Smith is Head of Python Ecosystem at JetBrains, which means he's responsible for your favourite Python IDE. He's a PSF Fellow, a DSF Member, a PyCon UK organiser, and was DjangoCon Europe Co-Chair '23. He's worked in many roles in Engineering, Marketing, and Communication. He's now giving Product a try.

Mark has been programming in Python since 2000, and lives in Edinburgh with his family and three dogs. He recently got a tattoo.

  • What You're Leaving on the Table
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Mauro Pelucchi

Mauro Pelucchi is Senior Data Scientist and Big Data Engineer responsible for the design of the “Real-Time Labour Market Information System on Skill Requirements” for CEDEFOP (European Centre for the Development of Vocational Training).
He currently works as Head of Global Data Science at Lightcast with the goal to develop innovative models, methods, and deployments of labour market data and other data to meet customer requirements and prototype new potential solutions.
His main tasks are related to advanced machine learning modelling, labour market analyses, and the design of big data pipelines to process large datasets of online job vacancies. In collaboration with the University of Milano-Bicocca, he took part in many research projects related to the labour market intelligence systems. He collaborates with the University of Milano-Bicocca as a Lecturer for the Masters of Business Intelligence and Big Data Analytics and with the University of Bergamo as a Lecturer in Computer Engineering.

  • Multi-Model LLM Orchestration in Python: A Case Study in Research Automation
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Mia Bajić

I'm a software engineer with roots in developer experience and the data domain. I've built backend systems, SDKs, and beautiful web apps. I'm most energized when the thing I'm shipping makes someone else's work meaningfully easier and better.

Outside of work, I’m Vice-Chair of the EuroPython Society, the non-profit behind Europe’s largest Python conference, which also supports Python communities across Europe. Apart from that, I’ve spent years organizing and growing the Python community in Prague.

I also host Behind the Commit, a YouTube podcast featuring conversations with people shaping open source across Europe and beyond: https://www.youtube.com/@BehindtheCommit

  • Your Python has a public roadmap. Most engineers never read it.
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Neeraj Pandey

Neeraj is the co-founder of Vivid Climate, a climate management and DMRV platform. Neeraj is a polyglot. Over the years, he has worked on a variety of full-stack software and data-science applications, as well as computational arts, and likes the challenge of creating new tools and applications, and is an active international speaker with talks and tutorials presented at multiple conferences.

  • Python Power Tools: Hands-On from Decorators to Context Managers
  • Exposing Greenwashing: Satellite ML for Carbon Credit Verification
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Neringa Gaubiene
  • AI Agents: risks and legal
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Oleksii Liashuk

Oleksii Liashuk is lead ML engineer working with Python computer vision systems, such as object detection, segmentation, OCR and object tracking.
He focuses on practical ML problems like car damage detection, container number recognition in difficult conditions, and continuous dataset and model maintenance. Oleksii has hands-on experience with dataset updates, model retraining cycles and deployment of ML systems using Docker and Kubernetes.

  • Dataset Updates Without Losing Your Mind
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PJ Hagerty

PJ Hagerty is a well-known figure in the tech industry, particularly within the developer relations and DevOps communities. He is recognized for his work as a developer advocate, community builder, writer, and speaker. PJ founded DevRelate.io, a company focused on helping tech organizations build communities and enhance developer relations. He has a strong presence in the open-source and tech communities, often speaking at conferences and producing content on topics such as software development, DevOps, and community engagement.

  • AI & Ethics
  • Why Git Still Matters
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Paulius Venclovas

Paulius Venclovas is a Senior Data Engineer at "Flo Health" where he focus on delivering data processing and governance solutions on Databricks platform. Previously he worked at financial startup "Curve" and data consultancy company "Beyond Analysis". Paulius also holds a Master’s degree in Computing (AI/ML) from Imperial College London.

  • Python, rust and arrow for data processing
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Petras Zdanavičius
  • Professional Python and Web developer with 19 years of expierence
  • Hobbyist game developer

  • Serializing and displaying trees
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Piotr

Lead Open Source Engineer at Roboflow and a prominent open-source creator known for making computer vision easier for everyone. He is a dedicated educator who builds popular tools and tutorials that help thousands of developers turn complex AI research into practical projects.

  • Computer Vision, Meet Sports
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Piotr Migdał

Piotr Migdał /pjɔtr ˈmig.daw/ - a curious being, doctor of sorcery.

Professionally: I am a founding engineer at Quesma, investigating ever-changing limits of agentic AI in software engineering.

Previously: Co-founder & CTO of Quantum Flytrap, deep learning consultant, data viz specialist, quantum physics PhD.

Personally: I dance balfolk, fusion, and Zouk. I do sauna rituals, among trees, ponds and streams. A bit more on my journey in this post.

  • Vibe reverse engineering of old games and new hardware
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Piti Champeethong

I've been working with databases and software development for 20 years. Currently, I'm a MongoDB senior consulting engineer based in Singapore. I've previously spoken at conferences such as PyCon Lithuania 2025, PyCon APAC 2025, PyCon SG 2025, PyCon Thailand 2025, and Global Azure Thailand 2025. I’m also part of the community leader team for the MongoDB and PyLanna (the Python) User Group in Thailand, which brings together over 3,000 developers.

  • Beyond Basic RAG: Boosting Accuracy with Hybrid Search and Fusion Algorithms.
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Purva

Purva Porwal is an AI/ML Manager at State Street Corp with decade of experience in the tech industry. Primarily contributed in Conversational AI and Natural Language Processing, she has driven impactful innovations across key industries such as finance and telecommunications. Her passion lies in harnessing AI’s potential to create meaningful transformation, and is constantly exploring emerging technologies in the field. Beyond her technical expertise, Purva is an active mentor, supporting and inspiring future professionals in the AI space. She plays an integral role in the AI community, contributing to thought leadership and fostering collaborative progress.

  • Creative Data Storytelling with Python
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Rodrigo Girão Serrão

Hi, I'm Rodrigo Girão Serrão from sunny Portugal 🇵🇹.

I'm a prolific Python author and speaker, with multiple books published independently and dozens of talks and tutorials given at the largest Python conferences in the world. I also blog frequently about Python and publish two Python newsletters: the weekly mathspp insider 🐍🚀 and the daily Python drops 🐍💧.

I have extensive experience teaching people from all walks of life – from kids in school, to professionals in various industries, to retirees – and there is a clear consensus that my students enjoy my clear examples, the live-coding during my lessons, and most surprisingly: my quirky sense of humour.

  • And now for something completely different
  • The paradox of itertools.tee
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Roman Zaiev

After 14 years of engineering, most recently as a Senior Engineer at a leading UK fintech, today I’m focused on my own venture — Hypha, a video-on-demand marketplace designed for professional creators. Co-founder of my family, proud father of my little princess, a big fan of Bluey, and an avid Go player.

  • Stop Using ORM
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Saurav Jain

Saurav Jain, Apify's Developer Community Manager, excels in community building and devrel. With a history of growing Amplication's community to 40K, he now enhances Apify's developer engagement. An international speaker, he has contributed to more than 100 conferences from remote places in Africa to events in Silicon Valley. His work bridges developers globally, fostering innovation and collaboration within the tech ecosystem. His expertise and passion for technology make him a pivotal figure in nurturing tech communities.

  • Designing Python APIs for Data You Don’t Control
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Simona Skiotytė

As a Software Developer for the Generative AI platform at Nasdaq, Simona Skiotytė specializes in architecting the integration of Generative AI systems on AWS. Key projects include the integration of a research system that automates query generation, iterative web search, and multi-stage report synthesis, all orchestrated in AWS. Simona's foundation in data science comes from her time at ETH Zürich, where she applied statistical and mathematical models to large-scale biological datasets, utilizing dimensionality reduction, clustering, and regression modeling. This background provides a strong analytical lens through which Simona approaches the construction of Generative AI systems.

  • Beyond the Prompt: Building Research Agents in Python
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Tadas Goberis

Dentist turned engineer with 4 years in software and nearly 3 years in AI. Currently Lead AI Engineer at Trimble, where I build production agentic systems.

  • Stop Guessing: Build Feedback Loop for Prompt Engineering
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Tadas Korris

Tadas Korris is a software engineer at Mozilla, currently working on the Sync Backend Storage team, which is responsible for safely and securely synchronizing browser data for millions of Firefox users. His work focuses on building reliable, privacy-preserving systems that users can trust with their most sensitive data.

Previously, Tadas worked on Mozilla’s Contextual Services team, where he contributed to the Merino service, which provides private, contextual suggestions while maintaining strong privacy guarantees. Across his roles, he has been a strong advocate for online privacy and security, with hands-on experience developing secure software throughout its lifecycle. Tadas presented at PyConLT in 2024, discussing the Merino service in detail.

Tadas is deeply engaged in the ethics of AI and emerging technologies and has given talks on the dangers of unchecked automation and the steps technologists can take to protect democratic institutions and social trust in tech. He has presented this work at Mozilla Festival 2025 in Barcelona, the IIA International Conference in Amsterdam, and various conferences in Canada.

Tadas was born to a Lithuanian-Canadian family in Toronto and grew up in Edmonton. He maintained close ties to the local Lithuanian community, learning the language and participating in cultural and community activities from an early age. He cherishes his Lithuanian heritage and has gotten quite good at making vegan versions of almost all Lithuanian dishes. His Močiute Emilija would be proud!

Before transitioning into software engineering, Tadas began his professional career as a classical musician. He earned both his Bachelor’s and Master’s degrees from the Manhattan School of Music in New York City. In 2018, he completed a diploma in Web and Software Development from the University of North Carolina and began working in the technology sector. He joined Mozilla in 2022 and continues to perform as a regular substitute musician in several orchestras.

  • Python Tooling at Mozilla
  • AI and Agency: As Developers, We Decide The Future
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Tomas Peluritis

Tomas leads data at Mediatech and runs Uncle Data, a newsletter and podcast for data engineers who prefer practical advice over hype. By day, he manages pipelines processing half a billion events; by night, he writes about what he learned (often the hard way). When not wrangling DAGs or mentoring his team, he's probably optimising a Magic: The Gathering deck.

  • Technical Debt: When to Pay It Down vs. When to Just Live With It
  • Leading Through the Shift: What Engineering Leadership Actually Looks Like
  • Airflow Lessons They Don't Put in the Docs
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Valdas Druskinis

Valdas is a Machine Learning Engineer at carVertical, where he builds reliable and interpretable ML systems with a strong focus on end-to-end model and data lifecycles. Previously, he has lived and worked in multiple countries, including time at Mercedes-Benz AG, and has built production systems across classical ML, deep learning, and GenAI.

  • Beyond SHAP: Diagnosing Vector Embeddings with Visual Explainable AI
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Viraj Sharma

I am a passionate technologist with a strong interest in Python, artificial intelligence and Edge computing. I am currently studying in Class 9 at Presidium School, Delhi, INDIA. I have worked in areas such as torch.nn visualization, Anthropic technologies (MCP, Skills), large concept models, and TensorCore/CUDA benchmarks, Edge AI on raspbrry pi running small models with sensors. Recently I have been working on XAI (AI explaianability) and putting my work as a project on my AI Lab - modelrecon.com. As an active member of the Python community and AI communities, I enjoy learning from experienced developers and sharing my insights with others. I attend major tech events including PyCons, Linux Fests, OS Summits, GDG events, p99conf, and various AI conferences, where I actively present my projects and ideas.

  • XAI - Explainable AI tools and techniques
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Zafarzhon Irismetov

Senior Data Scientist at loan lending business.

  • Behind Every Instant Loan Is Data Science: How Python Scorecards Decide Credit Risk
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prof. Paulius Pakutinskas

Prof. Paulius Pakutinskas is a law professor and AI governance expert based in Lithuania, working at the intersection of regulation, innovation, and societal impact. He leads the Legal Tech Centre at Mykolas Romeris University and holds a UNESCO Chair on Artificial Intelligence, Emerging Technologies and Innovations for Society.

He is a member of the European Working Group of Competent Authorities on AI and heads a subgroup focused on general-purpose AI, contributing to the implementation of the EU AI Act.

His work bridges academia, policy, and practice, with a strong focus on how AI can be deployed responsibly, securely, and at scale — particularly in the public sector and justice systems.

  • AI Agents: risks and legal
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Özge Çinko

Hello World, I'm Özge Çinko! 👋

I'm a computer engineer who finds inspiration at the intersection of curiosity and technology. Currently building the future as an AI Engineer at ING.

For me, engineering is a creative craft - turning data into narratives and emotions into visual experiences. I am passionate about making technology more human-centric and purposeful.

When I'm not coding, I'm usually writing, traveling, or chasing the thrill of learning something new.

  • Measuring Experiments in LLMs: A/B Tests and Automated Testing
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Ąžuolas Krušna

I am a software and data engineer with a passion for open-source. I build data tools and pipelines for KAYAK. On my spare time I create apps that I have been always passionate about.

I like reading and writing. At some point I wish I did not know how to code and could dedicate my time to writing purely. However, I am drawn by the power of code and computers so strongly, that I cannot quit it.

One of the best things this year for me is showing up to kettle bell exercises every day.

I am from Lithuania but for more than 4 years now based in Berlin.

  • Streamline Python Package Release with uv, paws and trivia