Bio

I’m an aspiring roboticist interested in building intelligent systems capable of reasoning and action. I’m interested in problems ranging from active perception to planning for robotics. Currently, I am a perception software engineer at Aurora Innovation, building perception systems for self-driving trucks, since July 2023.

I graduated from UC San Diego with a masters in Computer Science, specializing in robotics, where I worked on problems related to task planning for robot manipulation and service robotics under Prof. Henrik Christensen. I completed my thesis on developing a planning framework for innovative tool use, by encoding causal affordances in symbolic planning. In addition, I worked on experience-based Task and Motion Planning for manipulation, and on a general purpose home-robot, which were presented at RSS 2024 and IRC 2023 respectively.

Before I joined UCSD, I completed my bachelors in Computer Science and Engineering from RV College of Engineering (RVCE), India.

For my undergraduate thesis, I worked as an intern at the Robert Bosch Center for Cyber-Physical Systems, Indian Institute of Science (RBCCPS, IISc) under Prof. Raghu Krishnapuram and Prof. Bharadwaj Amrutur, and later continued as a technical associate at RBCCPS. During my time at RBCCPS, I worked on autonomous navigation and robot teleoperation.

During my time at RVCE, I was a member of Project Jatayu, the autonomous UAV team, where I also served as the team lead for the SUAS 2019 competition, working on perception and communication. Here, we represented India among a few other teams in an international UAV competition held in Maryland, USA. This is when I developed an interest in robotics and autonomous navigation in specific, and have been working in this domain since.