AI Day

LLMs through my last 3 professions: an interdisciplinary approach — James Donahue
Quantum Machine Learning with Qiskit — Artem Konotpchyk, Manta Ribkauskyte
AI Day Intro
AI Lithuania Summit — Linas Petkevičius
AI Agents: risks and legal — Karolina Griciunė, Linas Petkevičius, Jonas Lekevicius, prof. Paulius Pakutinskas, Neringa Gaubiene
AI & Ethics — PJ Hagerty
Computer Vision, Meet Sports — Piotr
Reading the Mind of an LLM — Luca Baggi, Gabriele Orlandi
Friend or Foe? AI at Play in Cybersecurity — Cheuk Ting Ho
Stop Guessing: Build Feedback Loop for Prompt Engineering — Tadas Goberis
From OpenAI to DeepSeek: New Scaling Laws for LLMs that can Reason — Luca Baggi
Attacking Toughest and Messiest Tech Challenges with AI — Egidijus Pilypas
Lightning Talks
Measuring Experiments in LLMs: A/B Tests and Automated Testing — Kader Miyanyedi, Özge Çinko
Beyond the Prompt: Building Research Agents in Python — Simona Skiotytė
Software Development Now Costs Less Than Minimum Wage — Geoffrey Huntley
Vibe reverse engineering of old games and new hardware — Piotr Migdał
XAI - Explainable AI tools and techniques — Viraj Sharma
AI and Agency: As Developers, We Decide The Future — Tadas Korris
From Data Collection to Partner Delivery: Shipping a Paraphrasing Skill on Small Language Models — Marat Saidov
Context Engineering with DeepAgents: Write, Select, Compress, Isolate — Antanas Daujotis
AI-Assisted Development in Practice: Chatbot + Agentic Testing from Scratch — Alex Marmuzevich
Death by a Thousand Prompts: Can Our Disclosure Standards Survive AI Slop? — Jarek Potiuk
What It Means to Be a CTO in an AI Startup Today — Fabien Vauchelles
Engineering Complex AI solutions: Observability and Testing of multi-Agent Solutions — Dmitri
Beyond Basic RAG: Boosting Accuracy with Hybrid Search and Fusion Algorithms. — Piti Champeethong

Data Day

Exposing Greenwashing: Satellite ML for Carbon Credit Verification — Neeraj Pandey
Leading Through the Shift: What Engineering Leadership Actually Looks Like — Justinas Kuizinas, Aurimas Griciunas, Karolina Griciunė, Tomas Peluritis
Stats Meets ML - What I learned from my Machine Learning Certification — James Donahue
Python for Data Quality in 2025: Why tests alone are no longer enough — Artsem
Claude Code Conspiracies — Katharine Jarmul
From Sports Stats to AI Safety: The Ranking Renaissance — Gediminas Sadaunykas
Beyond the Static 2D Plot - Spatial Data Storytelling in 4D — Kęstutis Gadeikis
Networking drinks and music
Cloud Data Solutions Are Overrated: Building a Pan-European Business Database for Lunch Money — Antanas Baltrušaitis
Technical Debt: When to Pay It Down vs. When to Just Live With It — Tomas Peluritis
Data versioning — Federico Marchesi
Data Day Intro
Python, rust and arrow for data processing — Paulius Venclovas
Creative Data Storytelling with Python — Purva
Lightning Talks
Master the Art of Schema Dissection: Operation Data Engineer — Antonino (Nino) Cangialosi
Airflow Lessons They Don't Put in the Docs — Tomas Peluritis
Quantum Machine Learning with Qiskit — Jonas Adomaitis
How I mapped 10 000 illegal Airbnbs with Python — Juan Luis Cano Rodríguez
Designing Python APIs for Data You Don’t Control — Saurav Jain
Multi-Model LLM Orchestration in Python: A Case Study in Research Automation — Mauro Pelucchi
Beyond SHAP: Diagnosing Vector Embeddings with Visual Explainable AI — Valdas Druskinis
Dataset Updates Without Losing Your Mind — Oleksii Liashuk
And now for something completely different — Rodrigo Girão Serrão
Behind Every Instant Loan Is Data Science: How Python Scorecards Decide Credit Risk — Zafarzhon Irismetov

Python Day

Are we free-threaded ready? Looking at where free-threaded Python fails — Cheuk Ting Ho
Documenting Python Code—and Whether AI Can Really Help — Christian Heitzmann
A Practical Guide to Testing with Pytest, Faker, and Hypothesis — Kader Miyanyedi
Why Git Still Matters — PJ Hagerty
Lightning Talks
LLM Agent Patterns — A Python Developer's Vocabulary — Aidis Stukas
It’s Just Code: Library Dismantling 101 — Ekaterina Korolkoviene
Python Day Intro
Infrastructure as Python: Pulumi for Cloud Deployments — Eric Thanenthiran
An Art of Privacy — Denis Filiakin
From experiments to systems: DS lessons for better software engineering — Jaunė Malūkaitė
Lessons Learned using FastAPI in the Wild — Graham Lyons
Modern Python monorepo for Apache Airflow — Jarek Potiuk
The paradox of itertools.tee — Rodrigo Girão Serrão
Serializing and displaying trees — Petras Zdanavičius
Stop Using ORM — Roman Zaiev
What You're Leaving on the Table — Mark Smith
Python Power Tools: Hands-On from Decorators to Context Managers — Neeraj Pandey
Your Python has a public roadmap. Most engineers never read it. — Mia Bajić
The year of [packaging your Python app for] the Linux Desktop — Juan Luis Cano Rodríguez
Streamline Python Package Release with uv, paws and trivia — Ąžuolas Krušna
Python Tooling at Mozilla — Tadas Korris