Class of 2028

Keshav Narayan is a Georgetown Law student with a background in artificial intelligence. Before law school, he earned a B.S. in Computer Science and an M.S. in Machine Learning from Carnegie Mellon University, and interned at NVIDIA and early-stage AI startups. He later worked in quantitative trading, developing statistical models to forecast price movements in digital asset markets. His current work focuses on AI law and policy, especially frontier AI governance and regulation.