Taras Kuzyo
PHD Student at IAPMM
Lviv, Lviv Oblast, Ukraine
Summary
👤
Senior🎓
Top SchoolTaras Kuzyo is a PhD student in Astrophysics based in Lviv with 11 years of software engineering experience and over a decade of Python expertise, particularly in API development, AWS cloud solutions, big data processing, and data management pipelines. He combines rigorous scientific training with practical engineering, applying research-grade code quality and testing practices to production and open-source projects. As a QA/Test Automation contributor to the well-known matplotlib project, he has improved test coverage, image-baseline tests for xkcd-style markers, and PEP8 consistency—an example of bringing reproducible, visual-science standards into software. Taras is experienced in building robust data pipelines for large-scale processing and knows how to operationalize algorithms in cloud environments. His background in astronomy and astrophysics gives him a strong grounding in numerical methods, data integrity, and complex analysis workflows that inform his engineering choices. Colleagues describe him as a meticulous developer who bridges academic research and production-ready tooling.
11 years of coding experience
Master of Science - MS, Astronomy, Master of Science - MS, Astronomy at National University 'Ivan Franko' , LvivDoctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Pidstryhach Institute for Applied Problems of Mechanics and Mathematics NAS of Ukraine
English, Ukrainian
Stackoverflow
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0reached
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Github Skills (8)
test-automation10
data-visualizations10
data-visualization10
data-visualisation10
python10
matplotlib10
testing10
pytest9
Programming languages (2)
Github contributions (5)
matplotlib/matplotlib
Jun 2018 - Mar 2019
matplotlib: plotting with Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:10 commits, 5 PRs, 34 comments in 8 months
Contributions summary:Taras primarily contributed to testing and ensuring the quality of the matplotlib library. Their work focused on adding new test cases and modifying existing ones to cover different scenarios, including testing the correct behavior of the `LocationEvent` class. They also implemented and tested the xkcd style for markers, adding associated baseline images. Furthermore, the user performed PEP8-check fixes for code style consistency.
pythondata-sciencegtkdata-visualizationplotting
algoseekgit/algoseek-connector
Sep 2023 - Dec 2024
Contributions:3 releases, 27 reviews, 6 PRs in 1 year 3 months
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