Szymon Maksymiuk
Senior R Developer at Politechnika Warszawska
Warsaw, Masovian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolSzymon Maksymiuk is a Senior R Developer with eight years of experience building validated, production-ready analytics and Shiny applications for life sciences and enterprise clients. Based in Warsaw, he combines practical software engineering at Roche and Experis with academic teaching at Warsaw University of Technology, bridging research and industrial delivery. His work emphasizes explainable AI and interpretability of predictive models, and he is a co-author and maintainer of notable CRAN packages such as DALEX and checked. On DALEX he implemented and refined loss functions and added integrations for Python scikit-learn models, reflecting a strong focus on cross-language interoperability. Szymon’s background in data science and regulatory software validation means he delivers solutions that are both statistically sound and auditable. He is known for improving testing frameworks and pragmatic tooling that makes complex models more transparent to stakeholders.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE Data Science, Bachelor of Engineering - BE Data Science at Warsaw University of Technology
Stackoverflow
65reputation
5kreached
1answer
6questions
Github Skills (15)
scikit10
machine-learning10
explainable-artificial-intelligence10
data-science10
r10
scikit-learn10
python8
keras6
http6
http-header6
java6
anaconda6
google-cloud-platform6
google-cloud-dataproc6
shap6
Programming languages (9)
Github contributions (5)
ModelOriented/DALEX
May 2019 - Apr 2022
moDel Agnostic Language for Exploration and eXplanation
Role in this project:
Data Scientist
Data ScientistContributions:3 reviews, 53 commits, 40 PRs in 3 years
Contributions summary:Szymon primarily focused on implementing and refining loss functions for machine learning models within the DALEX package. Their contributions involved fixing issues related to existing loss functions, adding support for different model types like scikit-learn models (including creating wrappers and integration functions for Python models), and updating examples. They also worked on improving the testing framework of the package.
xaishapagnosticblack-boxexplainable-ml
Genentech/rd2markdown
Apr 2022 - Feb 2025
Contributions:16 reviews, 15 PRs, 40 pushes in 2 years 10 months
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