Summary
Dipesh Tamboli is a research scientist and PhD candidate specializing in federated learning, with eight years of experience applying machine learning, deep learning, and computer vision across academia and industry. Trained at IIT Bombay and now at Purdue, he has delivered applied ML solutions at Amazon Robotics and completed research internships at Meta and IISc, bridging theoretical research with production-focused robotics systems. His work spans self-driving path planning, model visualization via adversarial reconstruction, and scalable federated learning—demonstrating a knack for turning complex research into practical engineering. Based in Menlo Park, he combines strong academic credentials (4.0 PhD coursework) with hands-on product impact in large tech environments, often operating at the intersection of perception and systems.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Bombay
Doctor of Philosophy - PhD, Federated Learning, 4.0/4.0, Doctor of Philosophy - PhD, Federated Learning, 4.0/4.0 at Purdue University
Intermediate, Intermediate at Jawahar Navodaya Vidyalaya (JNV)