I am a researcher at Weco AI, a startup in London building for devs. Previously I spent time at the Auton Lab at the Robotics Institute at CMU, where I worked on deep learning and algorithms for computer vision, robotics and time-series. Previously, I've worked on deep learning and algorithms for fairness, robustness and generalization in computer vision and 2D-3D single and multi-view reconstruction. I've spent some time doing applied machine learning and deep learning research at a few startups, GE Healthcare and GE Aerospace.
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 outdoors and playing sports like tennis, golf and football.
| Machine Learning |
|---|
| Boosting and Boostability (An understanding through Computational Learning Theory) |
| Financial Forecasting of TSLA (using sentiment analysis, feature engineering, and RNNs) |
| Computer Systems |
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| GoLLUM - A GoLang Compiler |
| Unix Shell |
| Games |
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| Climbing Mount Everest (A text-based adventure game) |
| Other |
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| Useful Algorithms |
| Superconductor Regression (Kaggle Challenge) |
| Canvas Web Application |
| Blood Donations Database |