Machine Learning Engineer at GMUM - Group of Machine Learning Research
Krakow, Lesser Poland Voivodeship
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Summary
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Senior
🎓
Top School
Piotr Helm is a Machine Learning Engineer and PhD researcher based in Krakow with nine years of experience bridging applied ML research and production engineering. He develops trustworthy, continual learning methods and the theoretical foundations of ML while contributing to real-world systems at Red Hat and previously building LLM evaluation pipelines for watsonx.ai at IBM. His work at Molecule.one combined retrosynthesis and active learning with production-grade data generation, and he also strengthened testing infrastructure for the widely used pytest framework. Rooted in a strong theoretical background from Jagiellonian University, Piotr blends rigorous research with practical engineering to move models from proof-of-concept to reliable deployment.
9 years of coding experience
4 years of employment as a software developer
Mathematics Computer Science Algorithmics, Mathematics Computer Science Algorithmics at The August Witkowski 5th High School
Doctor of Philosophy - PhD Technical Computer Science, Doctor of Philosophy - PhD Technical Computer Science at Jagiellonian University
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:8 commits, 4 PRs, 14 comments in 2 months
Contributions summary:Piotr primarily contributed to the testing infrastructure of the pytest framework. Their commits added new tests, fixed existing tests, and modified test configurations. They implemented tests for specific features such as the `--no-header` and `--no-summary` flags and ensured correct behavior in edge cases. Additionally, they updated the testing suite to remove directories more efficiently using `atexit.register`.
Contributions:18 commits, 14 pushes, 2 branches in 1 month
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Piotr Helm - Machine Learning Engineer at GMUM - Group of Machine Learning Research