Jakub Krajniak is a Principal AI/ML Engineer and PhD in Computer Science with 19 years of experience building production-grade machine learning and scientific software. Based in the Poznan Metropolitan Area, he blends deep academic rigor from KU Leuven with practical engineering across physics and computing, enabling reliable data pipelines and model-driven systems. He contributes to open-source scientific tooling—most notably enhancing H5MD unit-system support in the ESPResSo molecular simulation package—demonstrating attention to interoperability and code quality. Known as a problem-solver, programmer, and scientist, he excels at translating complex research into maintainable, production-ready code and fostering reproducible computational workflows.
19 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at KU Leuven
Bachelor of Engineering (BEng), Computing Science, Bachelor of Engineering (BEng), Computing Science at Poznan University of Technology
Master's degree, Physics, Master's degree, Physics at Uniwersytet im. Adama Mickiewicza w Poznaniu
Contributions:5 commits, 1 PR, 3 comments in 1 day
Contributions summary:Jakub primarily focused on enhancing the H5MD integration within the ESPResSo package. They added functionality to define and utilize unit systems, essential for compatibility with H5MD data formats. This involved modifications to Python scripts and C++ core files to incorporate unit definitions and ensure correct data handling. Furthermore, the user adjusted code style and removed an unnecessary import, demonstrating a commitment to code quality and maintainability.
Contributions:33 commits, 1 PR, 23 pushes in 3 months
golanggraphqlgraphql-tools
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