Sai Prabhakar
AI Research + Product
AI Research + Product
I graduated from Carnegie Mellon University with a MS in Robotics (Thesis; MSR) degree, having completed my undergrad at the Department of Mechanical Engineering, Indian Institute of Technology Madras. My master’s thesis, conducted under the supervision of Prof. Manuela Veloso and Dr. Stephanie Rosenthal, focused on Explainable AI applied to Vision and Robotics. I am currently at Anterior Inc.. Previously, I worked at Abridge AI, where I spearheaded the development of conversation understanding capabilities for various healthcare actors, and led ML R&D for automatic doctor documentation.
My interests lie in Research and Product building at the intersection of Generative AI, Health AI, and Reinforcement Learning. My professional experience spans across both startup environments, where I built breakthrough ML products from scratch and scaled the company from 0 to 850 Million $, as well as large product and research-oriented companies. Additionally, I am a member of the International Consortium for Artificial Intelligence (AI) and Shared Decision Making special interest groups (SDM).
Notable recent research includes fine-tuning LLMs, enhancing Summarization Models with Human Feedback and Edits, and devising new metrics for evaluating LLM-generated summaries and Speaker Diarization. My work has been published across top-tier conferences in fields such as LLMs, NLP, Speech, Computer Vision, Robotics, and Reinforcement Learning.
Throughout my career, I have worked extensively with popular Deep Learning frameworks, large datasets, Cloud platforms, and MLOps tools like Kubernetes and Pub/Sub.
