An academic research collaboration with faculty at SRM University-AP focused on minimizing campus Electric Vehicle (EV) shuttle dispatch latencies and passenger wait times through reinforcement learning and graph theory.

Led logic formulation, physical GPS trajectory telemetry collection across campus routes, and graph-network spatial analysis. Modeled dynamic passenger demand matrices into an RL policy that dynamically optimizes vehicle dispatch routes, cutting peak waiting times across campus stops.