Priyadarshan Patil, Ph.D.

Dr. Priyadarshan Patil builds optimization and AI systems for problems where hundreds of millions of dollars in capital allocation depend on getting the math right. His focus is mixed-integer programming, network optimization, and demand forecasting for transportation, supply chain, and energy infrastructure.

He is VP of Engineering at Electrotempo, where he built and runs the team that delivers B2B optimization products to ports, utilities, and fleet operators. The models his team ships have supported over $320MM in infrastructure investment decisions and generated $1.5MM+ ARR in the first year, with 12–31% lifecycle cost reductions for clients. He also led Electrotempo through its SOC 2 compliance audit, setting up the security and governance program needed for enterprise procurement.

He co-founded LogiModel AI to solve a problem he saw repeatedly: companies spending weeks and tens of thousands of dollars on OR consultants to model supply chain problems that should take minutes. LogiModel lets operations teams describe their problem in plain English and get a solved, optimized plan back. No modeling expertise needed. The compiler he built hits 83%+ accuracy on industry-leading benchmarks.

Before LogiModel and Electrotempo, he was an Applied Scientist at Amazon. His optimization models for US middle-mile carrier allocation cut annual contract violation penalties by $500MM and dropped planning error from 5% WAPE to 3.3%. He has a Ph.D. in Operations Research from UT Austin and 470+ citations (h-index 9). He sits on TRB project panels for railroad and transportation technology research, and reviews grant proposals for NSF, the National Academies, and Amazon Research Awards.