Mahesh Murag is a Member of Technical Staff at Anthropic with 11 years of experience bridging applied AI research and product development. He has moved between hands-on engineering and product roles—scaling eCommerce ML products at Scale AI, shaping enterprise ML data solutions as an early PM at Tecton, and shipping perception research at Lyft Level 5—giving him a rare combination of technical depth and go-to-market intuition. Trained in EECS at UC Berkeley, he has a background in multi-agent reinforcement learning and crowdsourcing systems from academic research, which informs his approach to real-world AI deployments. Now focused on Claude and customer-facing AI integration, he brings both product strategy and implementation experience to help organizations operationalize advanced models. An interesting thread through his career is repeatedly taking initiatives from 0-to-1, whether incubating new ML services or joining early product teams at mission-driven startups.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS EECS (Electrical Engineering and Computer Science), Bachelor of Science - BS EECS (Electrical Engineering and Computer Science) at University of California, Berkeley
Contributions:130 commits, 67 pushes, 1 branch in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Mahesh Murag - Member Of Technical Staff at Anthropic