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
11 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master's degree, Computer Science, Master's degree, Computer Science at Manning College of Information and Computer Sciences, UMass Amherst
English, Hindi