Vaibhav Thakkar is an MS Robotics student at the University of Pennsylvania with nine years of software and research experience bridging physics-informed machine learning and robotic control. He has built compile-time automatic differentiation tools at CERN and implemented distributed microservices in Golang as one of the first engineers at DevRev, demonstrating both low-level systems expertise and production-grade services design. His recent work applies physics-inspired deep learning to vehicle dynamics and model-based control (MPPI, PPO) for autonomous forklifts and drones, pairing sensor-fusion perception with learned dynamics for closed-loop performance. Vaibhav’s background spans theoretical algorithms—randomized volume computations and GCNs for activity recognition—to pragmatic engineering across startups and large research labs, making him adept at moving ideas from prototype to deployable systems. Based in Philadelphia, he combines a curiosity for compiler and algorithmic problems with hands-on robotics research under professors Loquercio and Mangharam.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Kanpur
Master of Science - MS Robotics, Master of Science - MS Robotics at University of Pennsylvania
Contributions:22 commits, 7 pushes in 3 years 4 months
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