Maciej Skórski

Data Engineer

Saint-Étienne, Auvergne-Rhône-Alpes, France
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Summary

👤
Senior
🎓
Top School
Maciej Skórski is a research-driven scientist and engineer with 8+ years blending academic depth and industry impact across cryptography, information theory, applied statistics and machine learning. He has held post-doc and research roles at top institutions and translated that expertise into production ML and data-engineering work—building Azure ML pipelines, EHR predictive models, and efficient statistical evaluation tooling. Equally comfortable proving theorems and shipping ETLs, he has contributed to hardware RNG analysis, second-order neural optimization research, and cryptographic R&D for startups. Based in Luxembourg, he combines a PhD-level foundation with hands-on experience in deployment, mentorship, and grant-winning technical leadership. A detail that often surprises collaborators: he moves seamlessly between formal probabilistic modelling and pragmatic pipeline engineering, making him effective at both foundational research and product-ready systems.
code8 years of coding experience
job7 years of employment as a software developer
bookMaster of Science (M.S.) Mathematics and Computer Science, Master of Science (M.S.) Mathematics and Computer Science at University of Warsaw
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Github Skills (200)

apache-spark10
model-management10
numerics10
regression-models10
statsmodels10
espn10
neural-network10
topic-modeling10
data-science10
package-manager10
math10
forecasting10
deep-neural-networks10
linear-algebra10
python10

Programming languages (15)

C++CRustTeXGoAGS ScriptJupyter NotebookCuda

Github contributions (5)

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Data and code to design and evaluate the PLL-based true random number generator according to the paper "Enhancing Quality and Security of the PLL-TRNG" (published at TCHES 2023).
Contributions:11 releases, 23 PRs, 133 pushes in 1 year 1 month
field-programmable-gate-arraysmin-entropypllrandom-number-generatorssecurity-evaluation
Educational materials for my class "software engineering" (University of Warsaw, 2023)
Contributions:308 commits, 7 PRs, 586 pushes in 23 days
devopsgood-practices
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Maciej Skórski - Data Engineer