I am an Autonomous Driving Software Engineer at NVIDIA, passionate about
building safe and reliable AI systems for real-world robotics. My work focuses on
simulation-based validation, safety reasoning, AI-powered evaluation, and
automated triaging to improve the safety and deployment readiness of
autonomous driving systems at scale.
I completed my Ph.D. in Electrical Engineering and Robotics at the
University of Southern California, where I developed safety algorithms for
perception-enabled robotic systems by combining control theory, motion planning, and
machine learning. I was advised by Prof. Somil Bansal as part of the Safe and Intelligent Autonomy
Lab and was also a visiting researcher in Aeronautics and Astronautics at
Stanford University.
I enjoy building scalable tools that bridge research and production, enabling safer
and more robust autonomous systems.
Research Interests: Safety of Autonomous Systems and Learning-enabled
Components, Control and Planning for Safety-Critical Robots.
Research
Statement