Michał Bukowski
Lead Data Scientist
Warsaw, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolMichał Bukowski is a Lead Data Scientist based in Warsaw with 11 years of experience building production ML systems and leading cross-functional teams across finance, insurance, and media. He combines hands-on engineering (Python, backend systems) with research credentials—pursuing a PhD in Computer Science while holding senior roles at Kontomatik, intive, Lloyd’s Register and now Samba TV. At Kontomatik he led data enrichment and financial health initiatives whose labeling and scoring pipelines are used by major Polish banks and lenders, reflecting his ability to turn messy transaction data into operational ML products. He also contributes to open-source tooling (notably steampy, a Python Steam trading library), showing an appetite for practical integrations and robust API work. Colleagues describe him as a delivery-oriented manager who bridges research and engineering, improving model lifecycle reliability and deployment practices. Michał’s background in scraper development and low-level integrations gives him uncommon expertise in reverse engineering brittle data sources into dependable inputs for advanced models.
11 years of coding experience
12 years of employment as a software developer
Mat-inf, Mat-inf at XXVIII Liceum Ogólnokształcące im. Jana KochanowskiegoMagister (Mgr) Computer Science, Magister (Mgr) Computer Science at University of WarsawDoctor of Philosophy - PhD Informatyka, Doctor of Philosophy - PhD Informatyka at Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
English, Russian, Polish
Github Skills (6)
steam-api10
python10
http-request10
linux3
macos3
windows3
Programming languages (4)
Github contributions (5)
bukson/steampy
Jul 2016 - Sep 2022
A Steam trading library for python 3
Role in this project:
Back-end Developer
Back-end DeveloperContributions:21 releases, 15 reviews, 79 commits in 6 years 2 months
Contributions summary:Michał primarily contributed to the `steampy` library, focusing on adding new functionalities and fixing existing issues related to the Steam API. Their contributions included adding a `make_offer` method for creating trade offers, refactoring inventory fetching methods, and merging items from trade offers with descriptions. They also improved the library's robustness by addressing URL issues and updating the library's release version.
pythonsteam-tradingsteam-trade-offerspython3macos
bukson/nancorrmp
Jan 2020 - Feb 2020
Parallel correlation calculation of big numpy arrays or pandas dataframes with NaNs and infs.
Contributions:3 releases, 3 commits, 5 PRs in 6 days
pythondataframesparallelnumpydataframe
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