Alexander Kuhn-regnier is a backend Python developer with a decade of experience building robust, test-driven data processing systems and scalable applications. With a PhD in Physics from Imperial College London, he combines rigorous scientific modelling and machine learning experience—ranging from satellite and climate data analysis to plasma physics—with production-focused practices like mypy/pyright and conscientious pytest coverage. He has moved from academic research and teaching into industry roles, most recently at Squarepoint, applying computational methods to real-world problems and optimising pipelines for reliability. Colleagues rely on his ability to translate complex numerical methods into maintainable code and clear teaching materials, a skill honed while designing and delivering undergraduate computational physics coursework. Outside work he’s an endurance athlete and outdoor enthusiast—half marathon, marathon and a month-long John Muir Trail hike—that speaks to his persistence and attention to long-term goals.
10 years of coding experience
2 years of employment as a software developer
IB, IB at St. Georges School Cologne
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Imperial College London
Contributions:4 releases, 114 pushes, 1 branch in 1 year 10 months
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