Summary
Thomas Kolasa is an AI engineering and research professional with a decade of experience applying rigorous ML and data engineering to real-world problems across startups, enterprise, and consulting. He has led technical strategy as a co-founder/CTO and delivered multimillion-dollar ROI machine learning projects at DataRobot, building and deploying multimodal models and MLOps pipelines across finance, healthcare, sports, and government. As a freelance consultant he designed labeling pipelines, scalable data lake and serverless ETL architectures, and trained teams while earning six AWS certifications and SnowPro Core. Now based in Copenhagen, he splits his focus between research roles at Archon and applied AI for gaming at Raw Power Games, combining research curiosity with product-driven engineering. An ex-competitive fencer who once chased the US Olympic team, he brings the discipline of elite sport to high-stakes ML deployments and stakeholder-facing work.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Economics Secondary in Comparative Government, Bachelor of Arts (B.A.) Economics Secondary in Comparative Government at Harvard University