Avinab Saha
Research Scientist at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolAvinab Saha is a research scientist at Google Research with a decade of experience bridging machine learning, visual perception, and applied image/video systems. He completed a PhD at UT Austin where he advanced self/semi-supervised representation learning and perceptual quality metrics for video, VR/AR, and mobile cloud gaming, and interned on diffusion models and RLHF at Google. Prior to grad school he built commercial AI features for Samsung flagship phones and 8K TVs, shipping video compression and gallery zoom enhancements to millions of users. Comfortable moving ideas from papers to product, he pairs deep technical rigor (4.0 PhD, top IIT Kharagpur honors) with hands-on deployment experience on constrained devices. He’s particularly focused on self-supervised and generative methods for visual perception, with a knack for translating neuroscience-inspired insights into practical video and display technologies.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0 at The University of Texas at AustinBachelor of Technology (B.Tech.), Major in Electronics and Electrical Communication Engineering, Minor in Computer Science and Engg, 9.12/10, Bachelor of Technology (B.Tech.), Major in Electronics and Electrical Communication Engineering, Minor in Computer Science and Engg, 9.12/10 at Indian Institute of Technology, Kharagpur
English, Hindi, Bengali
Stackoverflow
1reputation
65reached
0answers
1question
Github Skills (49)
opencv10
image-quality10
video-quality10
computer-vision10
contrastive-learning10
residual-networks9
machine-learning9
self-supervised-learning9
ai9
hdr9
deep-learning9
cpp9
python8
unsupervised-learning8
parse8
Programming languages (6)
Github contributions (5)
avinabsaha/HIDRO-VQA
Dec 2023 - May 2026
Official Implementation of WACV 2024 Paper "HIDRO-VQA : High Dynamic Range Oracle for Video Quality Assessment"
Contributions:9 PRs, 13 pushes, 2 comments in 2 years 5 months
oraclevideo-qualitycontrastive-learninghdrself-supervised-learning
avinabsaha/avinabsaha.github.io
Aug 2023 - Nov 2025
Contributions:70 pushes, 1 branch in 2 years 3 months
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