Summary
Shubh Gupta is a research scientist and product leader with a decade of experience applying generative AI, computer vision, reinforcement learning, and state estimation to real-world navigation and robotics problems. With a PhD and postdoctoral work at Stanford, he built navigation-compatible neural mapping systems (including NeRF-based 3D reconstructions) and safety-focused algorithms for autonomous vehicles and extraterrestrial terrain planning. He has translated deep research into products, leading 0-to-1 efforts as Head of Product at SigIQ.ai and now driving applied R&D at Applied Intuition in Palo Alto. Shubh combines rigorous uncertainty quantification and sensor fusion expertise with a user-centered approach to ship reliable autonomy systems. An often overlooked strength is his track record bridging lab publications and patentable industry solutions—spanning academic papers, patents, and NeurIPS/WACV–level work.
11 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Kanpur
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stanford University