Summary
Felix Dietrich is a Lead Data Scientist based in Innsbruck with nine years of hands-on experience at the intersection of physics, mathematics and software engineering, and over seven years focused on deep learning with a strong PyTorch background. He has led teams from prototyping to production across computer vision and NLP, building models and tooling while staying current with research and applied best practices. His career spans academia, industry R&D and a stint at CERN, reflecting a mix of rigorous scientific training and practical full-stack development experience. Comfortable across front-end and back-end stacks, he brings a systems-minded approach to deploying ML in real products and a pragmatic appreciation for interdisciplinary constraints such as those from finance and large-scale digitization projects. An oft-overlooked strength is his ability to translate complex physical and mathematical intuition into robust model architectures and engineering workflows.
9 years of coding experience
6 years of employment as a software developer
37th Advanced School in Theoretical Physics, 37th Advanced School in Theoretical Physics at The Hebrew University of Jerusalem
Internship, Quantum optics & nuclear physics, Internship, Quantum optics & nuclear physics at Казанский государственный университет им. В.И. Ульянова-Ленина
Master of Science - MSc, Physics, Master of Science - MSc, Physics at University of Innsbruck
Exchange student, Exchange student at Maastricht University School of Business and Economics