Jakub Białek is a research scientist based in Warsaw with four years of professional experience bridging data science, software engineering, and applied research. He has evolved from technical support and engineering internships into data science roles at Siemens, Roche, and Transition Technologies, and now focuses on research and data quality at Soda (formerly NannyML). Trained in power engineering and nuclear engineering at Warsaw University of Technology, KTH and Grenoble, he brings strong quantitative foundations and a PhD-level research mindset to industrial ML problems. As a freelancer since 2019 he has delivered end-to-end data and software solutions, combining academic rigor with pragmatic product-facing implementations. Notably, his background spans both heavy-industry domains and fast-moving data-quality startups, enabling him to translate complex domain constraints into robust, production-ready ML tooling.
4 years of coding experience
6 years of employment as a software developer
Summer School Business/Managerial Economics, Summer School Business/Managerial Economics at Grenoble Ecole de Management
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Warsaw University of Technology
Double Master’s Degree Nuclear Engineering, Double Master’s Degree Nuclear Engineering at KTH Royal Institute of Technology
Double Master's degree Nuclear Engineering, Double Master's degree Nuclear Engineering at Grenoble INP - UGA
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