I am a founding engineer at a full-stack AI startup called Pillar Advisors working on LLM and machine learning-enabled automation within financial domans including Tax and Accounting.

Previously, I have worked as a Machine Learning and Backend Engineer on topics ranging from modeling pipelines and data analysis in systematic trading at Two Sigma, deep learning/computer vision applications at Cognex, and machine learning/artificial intelligence research during my internship at NVIDIA, undergrad, master’s.

I have also been a researcher at MLCollective, a (very cool!) non-profit machine learning research lab.

I graduated my Master’s in Computer Science at Brown University, working with George Konidaris, Stefanie Tellex, and James Tompkin, in May 2020. Previously, I was an undergraduate student at Brown University as well as intern at NVIDIA and Cognex.

My goal is to create robust, general, Artificial Intelligence (AI). My interests include (but are by no means limited to) Reinforcement Learning (RL), LLM Agent-Based Approaches, and Distributed Systems, with applications to real-world domains such as Automation, Finance, and Healthcare, Music, Art, and Lifestyle.

Outside of Computer Science, I do things like teaching Taekwondo at Columbia, photography, rock climbing, and music.

For my latest musings on the societal effects of superintelligence, see my recent writing on the topic. For a full list of work experience, publications, awards, and academic activities, please see my bio. I’ve just started writing about my thoughts. Check out my blog.