Jan Kulbiński is an AI Engineer with a Master's in Artificial Intelligence and eight years of software experience, including almost four years delivering commercial AI projects across NLP, LLM fine-tuning, RAG, and vector databases. He combines hands-on work with big data tooling like PySpark and AWS to build scalable clustering, forecasting, and anomaly detection pipelines. Jan has a track record of practical innovation—winning top placements in hackathons including HackYeah ’22 and CUValley ’23—and was selected for the OpenAI x AI Tinkerers ’25 agents hackathon. His experience spans startups and enterprise teams, from full-stack development at Nokia to focused ML engineering at bards.ai and now Trans.eu Group, giving him both product-minded and production-hardened perspectives. Colleagues rely on him to bridge research-grade techniques (encoder fine-tuning, prompt engineering) with deployable systems that handle real-world data volume and drift.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Wrocław University of Science and Technology
Some of my programs which I like the most, all written in JAVA
Contributions:5 PRs, 38 pushes, 4 branches in 9 months
javainheritanceprogramsjava8
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