Summary
Paweł Fijałkowski is a research-driven Quantitative Developer with 8 years of engineering experience, blending machine learning, algorithmic trading interests, and practical software delivery. He holds advanced ML education from the University of Warsaw (and additional AI studies at Universidade do Porto) and a data science engineering background from Warsaw University of Technology. Paweł has moved between academia and industry—publishing robotics research that used LLMs, reinforcement learning and evolutionary search to design adaptive robot morphologies, and shipping production integrations and APIs at Box. His prior roles span NLP explainability, demand forecasting algorithms, and ETL systems, reflecting strengths in algorithms, discrete math, graph theory and production-grade testing. A former math olympian and tutor, he brings a rigorous, analytical mindset and a knack for turning theoretical insights into robust, testable systems.
8 years of coding experience
4 years of employment as a software developer
II LO im. Króla Jana Sobieskiego
Inżynier (Inż.) Inżynieria i analiza danych, Inżynier (Inż.) Inżynieria i analiza danych at Warsaw University of Technology
Magister (Mgr) Machine Learning, Magister (Mgr) Machine Learning at University of Warsaw
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Universidade do Porto