Summary
Tillmann Radmer is a software engineer and entrepreneurial data scientist based in Berlin with nine years of experience bridging data-driven modeling and engineering design. He specializes in Python-based ML (scikit-learn, TensorFlow), FEM analysis, and CAD/CAM workflows, drawing on an earlier career as a hardware engineer to ground algorithms in physical systems. With dual master's training in Information Systems and Engineering/Industrial Management, he blends product-minded thinking and technical rigor to deliver seamless, production-ready solutions. Comfortable across predictive modeling, Java development, and management, he favors end-to-end ownership from prototype to deployment. Colleagues know him for translating complex simulation and hardware constraints into practical software products.
9 years of coding experience
Master of Science (M.Sc.) Engineering/Industrial Management, Master of Science (M.Sc.) Engineering/Industrial Management at University of Hamburg
Master of Science (M.Sc.) Information Systems, Master of Science (M.Sc.) Information Systems at Humboldt-Universität zu Berlin
English, German