Summary
Jakub Filipek-zapf is a quantitative developer with nine years of experience building high-performance systems at the intersection of trading, robotics, and machine learning. He blends production-grade Python, Rust, and C++ expertise with hands-on experience in data engineering, perception model tuning, and low-latency analytics—most recently at Citadel after co-founding Overland AI to shape robotics infrastructure and data pipelines. His background spans research (DARPA RACER, robot learning, quantum-classical ML) and industry wins such as volatility models and Spark/C++ integrations that materially improved trading performance and runtime. Comfortable across the stack, he pairs systems design and infrastructure know-how with a researcher's focus on autonomous robotics and reinforcement learning. Based in New York, he’s as likely to optimize a planner or perception model as he is to prototype new big-data tooling in Rust.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Washington
Polish, English