Summary
Vishal Vinod is a research engineer based in Mountain View with nine years of experience at the intersection of computer vision, computational photography, and generative modelling. He has shipped cutting‑edge research from internships and collaborations at Google and Microsoft to academic work at UC San Diego and IISc, including high‑impact contributions to Generative NeRFs and megapixel 3D reconstruction that markedly improved PSNR over prior art. Vishal combines practical systems skills—enabling on‑the‑fly feature manipulation in Vowpal Wabbit and deployable edge solutions—with deep research in few‑shot domain adaptation, low‑light RAW enhancement, and hyperspectral analysis for environmental sensing. He currently applies this blend of theory and engineering at GLASS Imaging, bringing experience turning novel papers into reproducible, high‑resolution systems. Notably, his background spans both large‑scale industry projects and prize‑winning academic work, reflecting a rare ability to move ideas from prototype to production.
9 years of coding experience
4 years of employment as a software developer
University of California, San Diego
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Visvesvaraya Technological University
High School, PCMB, High School, PCMB at CMR Group of Institutions
Tamil, Hindi, English