Summary
Sai Prabhakar is an AI research and engineering lead with a decade of experience building production-grade ML products and advancing generative AI in healthcare. As a founding ML lead at Abridge he helped create automatic clinical documentation from conversations and scaled the company from zero to a unicorn-level valuation. He has driven applied research and engineering at Tempus and now focuses on speeding prior authorization and generative healthcare workflows at Anterior. Sai’s publications span LLMs, speech, vision, robotics and RL, and his recent work includes multimodal generative models, leveraging human-edits to improve summarization, and creating custom LLM-evaluation metrics. He combines hands-on MLOps (Kubernetes, GCP, Pub/Sub) with product-facing research, having shipped features used by hundreds of thousands of users and millions of patient timelines. Outside product work, he advises AI education initiatives in West Africa and participates in the international consortium on AI and shared decision making.
10 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Madras
Master of Science in Robotics (MSR) (Thesis), Robotics, Master of Science in Robotics (MSR) (Thesis), Robotics at Carnegie Mellon University