Summary
Ravi Haksar is a software engineer specializing in planning and control for robotic systems, with 11 years of experience bridging research and production in the Bay Area. He brings deep expertise in control, state estimation, reinforcement learning, and optimization, applied across full-stack robot development from mechanical and electrical design to algorithm and software library implementation. His career spans advanced research roles at Stanford and Max Planck to production-focused engineering at Nuro and now Zoox, demonstrating an ability to transition novel multi-robot algorithms into robust, fielded systems. Ravi is comfortable with hands-on electro-mechanical testing and debugging, and has a track record of independently leading research initiatives and mentoring junior researchers. Holding a PhD and MS in Mechanical Engineering from Stanford, he pairs rigorous theoretical grounding with practical manufacturing and integration experience. Less obvious: he routinely designs end-to-end robot platforms, giving him fluency across hardware-software boundaries that speeds iteration from prototype to deployed autonomy.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Georgia Institute of Technology
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Stanford University
English