Summary
Suhan Shetty is a robotics engineer and machine learning specialist based in Zurich with eight years of experience applying reinforcement learning, control theory, and system dynamics to humanoid and legged robots. He completed a PhD in Robotics at EPFL and translated academic advances into real-world systems at Idiap, Disney Research, and Hexagon, focusing on reducing sim-to-real gaps and leveraging low-rank tensor structures to make previously intractable problems tractable. His background spans research and product-facing engineering—from developing MATLAB/Simulink demos at MathWorks to producing gait-generation and state-estimation algorithms for quadrupeds and humanoids. Colleagues appreciate his ability to bridge rigorous theory with practical deployment, particularly in exploration, motion planning, and control.
8 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.E), Mechanical Engineering, Master of Engineering (M.E), Mechanical Engineering at Indian Institute of Science
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at EPFL (École polytechnique fédérale de Lausanne)
English, Hindi, Kannada