Summary
Sarvesh Patil is a PhD student in Robotics at Carnegie Mellon University with eight years of experience applying machine learning to dexterous manipulation, reinforcement learning, variational inference, and causal inference. He combines academic research under Prof. Max Simchowitz with hands-on industry experience, including robot learning R&D at Bosch BCAI and applied data-science work building AutoML web apps and multi-modal super-resolution systems. Comfortable across the stack, he has built production-facing ML tooling and front-end/back-end applications (Angular, Django, React Native) for real-world sensing and detection problems. Sarvesh’s background in electrical and electronics engineering and long history of organizing technical workshops and student initiatives gives him a pragmatic systems perspective on robotics problems that spans hardware, perception, and learning.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at Vivekanand Education Society's Institute Of Technology
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Carnegie Mellon University School of Computer Science