I am currently working on computer vision problems at Waymo to scale self-driving to multiple cities. Previously, I spent 4 fun years at Cruise solving the perception problem, leading to the first urban, no safety driver robotaxi deployement in US. My primary focus is in real-time 3D object detection and segmentation. I graduated with a Master's in Computer Science with a focus in Artificial Intelligence from the University of Texas at Austin. I received my Bachelor's degree in Electrical and Computer Engineering from Rice University. I am interested in robotics, computer vision, machine learning, and entrepreneurship.
In the past, I had been a research assistant in Dr. Peter Stone's Building-Wide Intelligence lab, Dr. James McLurkin's Multi-Robot Systems Lab, and MIT Lincoln Laboratory. I worked on projects such as grounding natural language to visual features of everyday objects, building a software system combining detection, tracking, and object recognition in videos, implementing firmware and API for a novel robotics gripper, and developing a remote, hands-free bootloader for the robots to wirelessly program a group of other robots. I also served as graduate teaching assistants for machine learning, operating systems, and software engineering courses. I also co-organized the Forum for Artificial Intelligence lecture series.
I lived in California, Texas, Pennsylvania, Germany, and China. I casually subscribe to minimalism and try to live my life with more intentionality and to free myself from controllable distractions. I enjoy designing and building functional things, be it robotics and algorithms to make transportation safer, or 3D prints for everyday tools and items. I also like to tinker with my 91'Miata to squeeze every, last ounce of performance out of it's 1.6L naturally aspirated engine. When I have a lot of free time, I like to travel the world with my camera to capture different cultures, lifestyles, and perspectives.