About
A curious learner and a passionate explorer in the fields of AI, robotics, and automation
Motional AD
Working on ML-based trajectory generation for next-gen self-driving systems.
Meta Reality Lab Research
With the rise of GenAI, took a brief detour from motion intelligence to work on photorealistic Codec Avatars.
Aurora Innovation
Worked on a parametric trajectory sampler for L4 self-driving cars. The challenge in sample efficiency led me to explore ML approaches for trajectory generation.
Uber ATG
Worked on trajectory generation, solving three major challenges: optimization runtime performance; behavior formulation and tuning; and cost function learning.
Robotics Institute — Carnegie Mellon University
Worked on optimization-based motion planning and control for humanoid robots. Participated in the DARPA Robotics Challenge with Team WPI-CMU, leading the egress task. The team completed the task in under four minutes with a 100% success rate and placed 7th in the DRC final.
Robotics Institute — Carnegie Mellon University
Pioneered the use of an optimal trajectory library for robot planning and control. The trajectory optimization method I used later became one of the most efficient trajectory generation methods for self-driving cars.
S3 Graphics
Worked on GPU logic design, which sparked my interest in harnessing computational power to drive advanced AI.