Summary
Saksham Suri is a research scientist with nine years of experience focused on building and optimizing on-device foundation models for content understanding, currently at Meta’s Reality Labs. He combines a strong academic background—a PhD candidacy at University of Maryland and a top-ranked BTech from IIIT-Delhi—with hands-on internships at AWS, IBM Research, and USC that span interpretable synthesis, biometrics, and applied ML systems. His work emphasizes learning from less supervision and uncurated data, proposing architectural and loss modifications to make models more data-efficient and robust. At Meta he now translates that research into model optimization for resource-constrained devices, bringing both theoretical rigor and production-minded engineering. An under-the-radar strength is his early work on brain-inspired cues and dictionary-learning approaches to support deep classifiers, reflecting a knack for hybrid solutions that bridge classical and modern ML.
9 years of coding experience
7 years of employment as a software developer
High School, 97% (12th), 10.0 GPA (10th), High School, 97% (12th), 10.0 GPA (10th) at Bluebells School International
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Maryland
Bachelor of Technology - BTech, CSE, 9.89, Bachelor of Technology - BTech, CSE, 9.89 at Indraprastha Institute of Information Technology, Delhi