Developed and published research on AI models to predict and manage traffic congestion for the upcoming 2028 Los Angeles Olympics. Built a hybrid system combining reinforcement learning, multi-agent frameworks, and GIS-based spatial analysis to optimize urban mobility, reduce pollution, and improve commuter safety. Findings were published through UCLA’s Summer Undergraduate Research Program (SPUR) and presented at the SPUR Conference, aligning with the city’s SmartLA2028 plan for sustainable, tech-enabled infrastructure.