I'm a researcher at Weco AI, building LLM and VLM agents for code generation and problem solving. Previously I spent time at the Auton Lab at the Robotics Institute at CMU, where I worked on deep learning algorithms for vision, robotics and time-series. I also spend my free time working on AI safety, specifically alignment and fairness in computer vision. Prior to this, I worked on efficient deep learning for 2D-3D single-view reconstruction. In the past, I've spent some time doing applied machine learning and deep learning research at a few startups and large companies.
Apart from AI research, I enjoy high-performance computing and all the kernel/thread/cluster programming (debugging lol) that comes with it. I've made a few games, simulations, and systems.
I like to apply my research to healthcare, climate, industrial, and scientific problems. I am interested in AI and research at companies that take a practical engineering approach to innovation and impact.
Outside of research I enjoy being spending time outdoors by hiking, surfing and playing golf.
| Machine Learning |
|---|
| Boosting and Boostability (An understanding through Computational Learning Theory) |
| Financial Forecasting of TSLA (using sentiment analysis, feature engineering, and RNNs) |
| Computer Systems |
|---|
| GoLLUM - A GoLang Compiler |
| Unix Shell |
| Games |
|---|
| Climbing Mount Everest (A text-based adventure game) |
| Other |
|---|
| Useful Algorithms |
| Superconductor Regression (Kaggle Challenge) |
| Canvas Web Application |
| Blood Donations Database |