Summary
Prakhar Sharma is a Senior AI Engineer in the Office of the CTO with a decade of experience building and deploying deep learning systems across research and industry. He specializes in task-specific fine-tuned LLMs and embedding models, graph attention networks for anomaly detection, domain-specific reinforcement learning, and out-of-distribution detection using variational and vanilla autoencoders, with past work on edge-device ML and model compression. His career spans SRI International research roles and industry positions from AMD to Sonatus, combining hands-on model development with experience securing multi-stakeholder funding and commercializing research. Based in Menlo Park, he brings a research-minded approach to product problems, often translating advanced probabilistic methods into practical, deployable solutions.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Birla Institute of Technology and Science
Master's degree, Master's degree at College of Information and Computer Sciences, UMass Amherst
English, Hindi