Summary
Erik Rodner is a professor and machine learning practitioner based in Berlin with 14 years of experience bridging academic research and industrial deployment for intelligent production systems. He teaches and mentors the next generation of engineers while running hands-on R&D in ML, data science, and Industrial IoT rather than dressing concepts up as buzzwords. His background includes leadership and applied research roles at ZEISS and a postdoc at UC Berkeley, giving him deep experience taking models from lab prototypes to production contexts. He also founded One-Minus-Delta UG to commercialize practical ML solutions, blending entrepreneurship with academic rigor. Known for a pragmatic, systems-oriented approach, he focuses on real-world data, sensor integration, and making connected manufacturing systems reliably intelligent.
14 years of coding experience
9 years of employment as a software developer
Diploma (eq. to Master Degree) Computer Science, Diploma (eq. to Master Degree) Computer Science at Friedrich Schiller University Jena
English, German