Summary
Simon Chauvin is a Machine Learning Engineer focused on robotics with eight years of experience applying reinforcement learning, sensor fusion, and computer vision to autonomous systems. Based in Bavaria, he has progressed from industry placements and a diploma thesis at Siemens to multi-year autonomy work at ESR Labs and now leads ML-for-robotics efforts at Accenture DACH. He specializes in R&D-driven solutions that bridge simulation and real-world deployment, turning research prototypes into robust perception and control stacks. His background in mechanical engineering from Imperial College and a Udacity nanodegree gives him a rare blend of classical engineering intuition and modern ML practice. Notably, he has deep hands-on experience in autonomous driving domains, which informs pragmatic approaches to safety and sensor integration in robotic platforms. Colleagues describe him as the kind of engineer who pairs theoretical rigor with experimental tinkering to close the sim-to-real gap.
8 years of coding experience
5 years of employment as a software developer
Third year - MEng Mechanical Engineering, Imperial College London, Third year - MEng Mechanical Engineering, Imperial College London at Imperial College London
Nanodegree Program, Nanodegree Program at Udacity
Ecole Centrale Paris
Lycée Kléber - Strasbourg - France
French scientific Baccalaureate, French scientific Baccalaureate at Lycée Follereau - Belfort - France
French, German, English