About Me

I’m an AI Research Scientist working on the science of training LLMs. Previously I worked on building machine intelligence which can learn effectively, efficiently, and continually as part of the founding team of Adaption. Before that, I worked on LLM post-training research spanning reinforcement learning, reasoning, multimodality, and multilinguality at Cohere on the Cohere Labs team (Cohere’s fundamental research team). I completed my MS and BS in computer science at UCLA where I was a student researcher working on LLM alignment at the UCLA Machine Intelligence Group (MINT) advised by Professor Aditya Grover. My publications can be found on Google Scholar.

Previously, I’ve worked at Motional (ML for autonomous driving), Skydio (ML for autonomous flight), and Amazon Web Services (Software Engineering for EC2). While I was an undergraduate student at UCLA, I worked on computer vision and VR for robotics research at the UCLA Center for Vision, Cognition, Learning, and Autonomy and ML for disease diagnosis at the Ozcan Research Group.

While I was a student at UCLA, I served as president of ACM AI at UCLA, the largest AI student organization at UCLA dedicated to developing a community of students interested in AI at UCLA and beyond through free workshops, events and other outreach initiatives. I’ve also served as a TA for multiple UCLA undergraduate introductory CS courses (CS 31/33). I also love playing/writing music (vocals, guitar, piano), working out, and trying new food!