Summary
Tomek Florek is a data and AI engineer with 10+ years building production-grade data pipelines, integrations, and ML systems across Europe, Asia and the US. He has led provider integrations at scale (100+ connections, 1,400+ providers at HomeToGo), designed EV charging data infrastructure at Plugsurfing, and built RAG-enabled legal AI infrastructure serving paying customers with near-perfect citation accuracy at DraftyAI. Currently finishing an MSc in AI at Utrecht and conducting thesis research at ETH Zurich’s Neurotechnology Group, he applies deep learning to neural tracing in connectomics—bringing research rigor to production ML. Equally comfortable owning end-to-end pipelines, shipping ML into production, and aligning business and engineering stakeholders, Tomek combines product leadership with hands-on engineering across cloud-native stacks and LLM toolchains. Based in Zurich, he’s focused on contributing his rare mix of research and production experience to the Swiss AI and data ecosystem.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Exchange, Master of Science - MS, Artificial Intelligence, Exchange at National Taiwan University
Practical Deep and Machine Learning, Practical Deep and Machine Learning at Data Science Retreat
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Lucerne University of Applied Sciences and Arts
Data Engineering, Data Engineering at Pipeline Data Engineering Academy
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Utrecht University
Master of Science - MSc, Computer Science, Master of Science - MSc, Computer Science at Opole University of Technology
English, Spanish, Italian, Polish, German