Oleh Kozynets
R&D Software Engineer at Keysight Technologies
Ghent, East Flanders, Belgium
Summary
👤
Senior🎓
Top SchoolOleh Kozynets is an R&D software engineer with ten years of experience building performant systems in Python and C++, currently driving research-grade development at Keysight Technologies from Ghent. His background spans simulation and data-driven research (PhD work at UGent), medical imaging and brain-age prediction at Inria, and production engineering across backend and frontend stacks. He contributes to major open-source projects like scikit-learn (documentation improvements) and pandas (bug fixes and refactors), showing attention to clarity and robustness in widely used data-science libraries. Comfortable bridging research and product engineering, he pairs low-level C++/CUDA simulation skills with high-quality Python tooling and data-processing expertise. A less obvious strength is his persistent focus on documentation and developer experience, improving usability of complex libraries for thousands of users.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Erasmus Mundus Joint Master in Medical Imaging and Applications MAIA, Master's degree, Erasmus Mundus Joint Master in Medical Imaging and Applications MAIA at Université de BourgogneBachelor's degree, Engineering Physics/Applied Physics, Bachelor's degree, Engineering Physics/Applied Physics at Kiev National Taras Shevchenko University
Russian, English, Ukrainian, French
Stackoverflow
91reputation
13kreached
7answers
0questions
Github Skills (14)
pandas10
restructuredtext10
python10
data-science10
documentation10
data-analysis10
debugging9
machine-learning8
operator-overloading6
math6
matrix6
constructor6
matplotlib6
numpy6
Programming languages (9)
Github contributions (5)
scikit-learn/scikit-learn
Aug 2020 - Oct 2020
scikit-learn: machine learning in Python
Role in this project:
Technical Writer
Technical WriterContributions:26 reviews, 7 commits, 8 PRs in 2 months
Contributions summary:Oleh primarily contributed to documentation improvements within the scikit-learn repository. Their commits focused on fixing documentation style, correcting docstrings, and refining example code documentation. The changes involved modifying reStructuredText files, specifically targeting modules related to clustering, preprocessing, and examples. This suggests a focus on enhancing the clarity, accuracy, and user-friendliness of the library's documentation.
machine-learningpythonscikit-learnstatisticsdata-science
pandas-dev/pandas
Oct 2020 - May 2021
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:Back-end Developer
Back-end DeveloperContributions:24 reviews, 8 commits, 8 PRs in 6 months
Contributions summary:Oleh primarily contributed to bug fixes and refactoring within the pandas library. They addressed issues related to data parsing, specifically the behavior of `delim_whitespace` in `read_table` and `read_csv` functions, ensuring correct delimiter handling. The user also deprecated and removed `inplace` arguments in several methods related to categorical data manipulation like `remove_unused_categories`, `remove_categories`, `add_categories`, `reorder_categories`, `rename_categories`, and `set_categories`. Furthermore, they resolved a bug in `select_dtypes` on Windows systems.
data-analysisdata-structuredata-structurespythonpandas
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