Summary
Nico Schmidt is an AI Architect based in Berlin with 15 years of experience building production-grade ML systems for robotics and autonomous driving. He combines a PhD-level research background in computational neuroscience with hands-on engineering leadership, having led cross-functional teams to deliver edge-to-cloud data pipelines, in-vehicle intelligent data collectors, and scalable MLOps for ADAS/AD stacks. At Volkswagen/CARIAD he translated research on robustness, domain adaptation and safety into industrialized AI practices, and more recently guided data science initiatives as Data Science Lead before joining Intertek. Known for bridging theory and practice, he routinely supervises academic research while shipping embedded and cloud software, and has a track record of introducing automated testing and CI/CD to hard real-time domains.
15 years of coding experience
14 years of employment as a software developer
Doctor of Science (Ph.D.) Informatik, Doctor of Science (Ph.D.) Informatik at University of Zurich
Bachelor of Science (B.Sc.) Bioinformatik, Bachelor of Science (B.Sc.) Bioinformatik at Freie Universität Berlin
Master of Science (M.Sc.) Computational Neuroscience, Master of Science (M.Sc.) Computational Neuroscience at Technische Universität Berlin
German, English, French