Alexander Tygesen is a Senior Data Engineer with 11 years of experience who blends a PhD in battery materials modeling with hands-on data engineering and HPC-savvy software development. He moved from academia—where he built large-scale DFT simulation workflows, cluster expansion methods and parallelized code—to production data engineering roles delivering automated workflows and ML-enabled pipelines. Based in Copenhagen, he excels at turning complex scientific specifications into reliable, scalable software and has deep familiarity with high-performance computing, workflow automation and machine learning. Colleagues value his ability to bridge domain science and engineering pragmatism, and his background suggests he brings rigor from research to data platforms and tooling.
11 years of coding experience
3 years of employment as a software developer
Massachusetts Institute of Technology
Physics, Physics at Technical University of Munich
A Python API for DUPLA (Dataudvekslingsplatformen)
Contributions:2 reviews, 21 PRs, 21 pushes in 7 months
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