Udaikaran Singh
Software Engineer at Waymo
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolUdaikaran Singh is a software engineer with nine years of experience building production ML and perception systems, currently contributing to Waymo’s perception team. He previously led video indexing and retrieval improvements at TikTok, introducing LLMs for content-quality measurement, OCR enhancements, and a redesigned offline pipeline that cut runtime from 30 to 4 hours while drastically reducing resource needs. His work spans multimodal modeling, self-supervised methods, and practical ML engineering—shipable improvements rather than just research prototypes. Trained with an MS in Artificial Intelligence from Carnegie Mellon and a BS in Computer Science from UCSD, he blends academic rigor with hands-on system optimization. Known for improving retrieval coverage by 20% in experiments and boosting detection accuracy in safety models, he focuses on measurable gains at scale. Based in San Jose, he brings a cross-disciplinary perspective from research, teaching, and industry internships into applied perception and search systems.
9 years of coding experience
5 years of employment as a software developer
University of California, San DiegoBellarmine College PreparatoryMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Carnegie Mellon University
Hindi, Punjabi, English
Github Skills (7)
bidirectional4
markdown3
vscode-extension3
vscode2
deep-learning1
tensorflow1
super-resolution1
Programming languages (1)
Github contributions (5)
UdaikaranSingh/bigan
Jul 2019 - Aug 2019
Contributions:25 commits in 8 days
UdaikaranSingh/CNN-X-ray-classification
Oct 2018 - Sep 2022
Contributions:69 pushes, 1 branch in 3 years 11 months
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