I am a freelance data scientist building artificial intelligence (AI) tools for positive climate impact. In the past, I engineered software pipelines to automate searches of terabytes of astronomy data for exotic events, including plausible signs of intelligent life beyond the Earth.
Major project highlights:
- Conducted a rooftop solar feasibility study using LiDAR, revealing that 53% of homeowners in DeLand, Florida, can save over $1,000 annually by transitioning to solar-powered households.
- Developed a scalable tool for near real-time forecast of earthquakes induced from underground carbon storage, thereby enabling proactive measures to minimize the seismic hazard.
- Designed a novel open-source software to detect repeating radar-like transmissions from potential technologically advanced worlds residing in the Milky Way.
Outside of work, I enjoy following cricket, playing board games, and exploring natural wonders. Visit my personal website to learn more about my experiences in and beyond the workplace.
| Repository | Project domain | Technologies |
|---|---|---|
| agriyield_viz | Geospatial data visualization in the cloud |    |
| blipss | Software development for astronomy |     |
| may22-barrel | AI for agriculture |  |
| oil-well-detection | Computer Vision for Satellite Imagery |  |
| RFI-classifier | Deep learning for astronomy | |