Sohil Shah
Senior Machine Learning Engineer at Adobe
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSohil Shah is a senior machine learning engineer with nine years of experience shaping AI across academia and industry. Currently a senior machine learning engineer at Adobe, he brings a strong track record from prior roles at Avataar as Research Manager and Intel Labs as a Research Scientist, where he advanced computer vision pipelines and AI-driven modeling. His work spans fast, robust clustering, flow-based generative networks for molecular conformations, and transformer-based graph synthesis, reflecting a blend of theoretical and production-oriented skills. He earned a PhD from the University of Maryland with a focus on optimization for unsupervised learning, image segmentation, and GANs, complemented by an MTech from IIT Bombay and a BE from Madras Institute of Technology. Based in Bengaluru, his research interests center on scalable computer vision, generative modeling, and graph neural networks, with a practical eye for deploying scalable AI that reveals complex relationships.
10 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology BombayThe University of Maryland, College ParkB.E., B.E. at Madras Institute of Technology Campus
Tamil, Hindi, Gujarati, English
Github Skills (6)
unsupervised-learning10
clustering9
prediction8
machine-learning7
deep-learning4
pytorch4
Programming languages (1)
Github contributions (5)
shahsohil/stableGAN
Feb 2018 - Apr 2019
The code for the ICLR 2018 paper "Stabilizing Adversarial Nets With Prediction Methods"
Contributions:7 commits, 2 PRs, 8 pushes in 1 year 2 months
pytorchiclrpredictiondeep-learningadversarial
chengluyu/robust-continuous-clustering
Sep 2017 - Mar 2018
Contributions:8 commits in 5 months
clusteringcontinuous
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