Steinn Agustsson is a Sr. Data Architect with nine years of experience translating solid-state physics research into practical data-science and machine learning solutions. After a PhD and postdoctoral work focused on multidimensional photoemission spectroscopy, he now applies that experimental-data expertise at Siemens to build data-driven acquisition and analysis systems. Proficient in Python and modern ML frameworks, he specializes in extracting insights from high-dimensional datasets and embedding models into research workflows. His background marrying surface-science intuition with software engineering gives him an uncommon ability to design pipelines that respect both physical experiment constraints and production requirements. Based in Bavaria, he brings a collaborative, research-first approach to industrial data architecture.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics and Advanced Technologies, Bachelor of Science (B.Sc.), Physics and Advanced Technologies at Università degli Studi di Siena
Master's Degree, Condensed Matter and Materials Physics, Master's Degree, Condensed Matter and Materials Physics at Unversität Stuttgart
Contributions:3 PRs, 76 pushes, 2 branches in 1 year 4 months
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