Summary
Kavin Phabiani is a data-driven business analyst and applied data scientist with 9 years of hands-on experience building geospatial AI and autonomous-systems workflows that connect people, data, and the physical world. With internships at NAVFAC, he engineered drone and satellite pipelines using ArcGIS, PyTorch, and LoRA-SAM to automate environmental and cultural-resource detection—cutting manual survey time and boosting habitat identification accuracy. He founded GIS@UCR, led ACM@UCR projects as Project Manager, and shipped embedded firmware for an electric race car, demonstrating a rare blend of field-facing geospatial expertise, product engineering, and leadership. Currently pursuing an M.S. at USC while advising startups and building fleet-coordination and nonprofit automation products, he balances research rigor with entrepreneurial drive. Kavin is particularly focused on ethically deploying emerging tech to improve sustainability, safety, and operational efficiency.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS + MS, Computer Science, Bachelor of Science - BS + MS, Computer Science at University of California, Riverside
Master's degree, Applied Data Science, Master's degree, Applied Data Science at USC Viterbi School of Engineering