Vihari Piratla is a Postdoctoral Research Associate at the University of Cambridge with 13 years of experience tackling applied machine learning challenges, especially those that emerge when models are deployed in real-world, shifting domains. He completed an MTech+PhD at IIT Bombay with top grades and has a track record of industry research engagements, including a Microsoft Research internship on training algorithms robust to domain shifts. His background spans medical imaging, stereo-vision motion tracking, and production-oriented ML research from roles at Amuse Labs and GE Global Research. Vihari combines strong theoretical grounding with practical experimentation, focusing on robustness and transfer under distributional change. Based in Cambridge, he blends academic rigor with hands-on problem solving and a consistent interest in moving ML systems from lab to field. An uncommon strength is his long-standing continuity across academia and industry, enabling solutions that are both principled and deployable.
13 years of coding experience
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Indian Institute of Technology Mandi
Contributions:325 commits, 11 PRs, 256 pushes in 1 year 10 months
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