Summary
Sebastian Bayer is a pragmatic data scientist and optimization engineer with a PhD in Econometrics and nine years of experience turning hard mathematical problems into robust production systems. At Bosch he architects and operates high-availability scheduling services—reengineering a database-first system into an API-first platform that processes 20,000+ requests per day across five distinct mathematical models with sub-second latency. He specializes in NP-hard scheduling and combinatorial optimization where academic rigor delivers measurable business impact, including a deployed system that generates millions in profit for a semiconductor fab. Comfortable spanning research, full-stack engineering, and CI/CD-driven deployment, he also evaluates project feasibility and mentors junior talent. Based in Reutlingen, Germany, he blends econometric depth with hands-on software craftsmanship to move prototypes into reliable, scalable production.
9 years of coding experience
8 years of employment as a software developer
PhD, Econometrics, PhD, Econometrics at University of Konstanz
Bachelor of Science (B.Sc.), Economics, Bachelor of Science (B.Sc.), Economics at Universität Konstanz