Data Scientist | Machine Learning Engineer
I leverage data and artificial intelligence (AI) for positive human and climate impact. In the past, I engineered software pipelines to automate searches of radio astronomy data for time-variable events, including plausible signs of intelligent life beyond the Earth.
Major project highlights:
Led test-driven software development of a segmentation model to detect Amazon rainforest cover in satellite imagery, eliminating up to 15 hours of tedious manual processing per week.
Evaluated rooftop solar viability through LiDAR data analysis, demonstrating that 53% of homeowners in DeLand, Florida, could 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.
Check out my About and Projects pages to learn about my educational background and workplace experiences. I maintain a blog, where I occasionally post about readings that catch my interest. Outside of work, I enjoy following cricket, playing board games, and going out on nature walks.