Summary
Rohan Bansal is an undergraduate computer scientist at Georgia Tech with eight years of hands-on experience building autonomy and control systems for robots and spacecraft. He blends research and engineering—contributing equivariant filtering to GTSAM, developing faster-than-demonstration imitation learning pipelines at RL2 Lab, and writing propulsion guidance software for a satellite program that interfaced with HITL systems and JPL FPrime. His internships at Zoox and Lockheed Martin span planning/control, testbed simulations, and manufacturing, giving him rare end-to-end exposure from low-level flight software to cloud-based policy serving. Based in the Bay Area, he focuses on robot learning, planning/autonomy, and control theory, and often bridges theory with production constraints like low-latency batch inference and real-time guidance.
8 years of coding experience
BS Computer Science, Minor Aerospace Engineering, BS Computer Science, Minor Aerospace Engineering at Georgia Institute of Technology
Archbishop Mitty High School