Summary
Nirat Saini is a software engineer and recent PhD graduate from the University of Maryland, now applying his 8 years of experience to production ML systems at Waymo in the San Francisco Bay Area. His research and applied work bridge computer vision, video understanding, and generative AI, with specific strengths in compositional zero-shot learning, weakly supervised action learning from video, and using knowledge graphs for few-shot tasks. He has a track record of designing end-to-end solutions—from sensor-driven mental-state models to auction-based spectrum allocation algorithms—and brings a systems-minded approach to research problems. Comfortable moving between research and production, he’s interned at Cruise and Affectiva and has experience translating academic ideas into real-world prototypes. Colleagues rely on him for holistic problem solving that pairs algorithmic creativity with pragmatic engineering.
8 years of coding experience
The University of Maryland, College Park
Master of Technology (M.Tech.) (Integrated), Computer Science, Master of Technology (M.Tech.) (Integrated), Computer Science at Dayalbagh Educational Institute, Agra
Master of Science (M.Sc.) (Integrated), Computer Science (specialization in Computer Networks), Master of Science (M.Sc.) (Integrated), Computer Science (specialization in Computer Networks) at Dayalbagh Educational Institute
English, Hindi, French, Punjabi