Sohil Shah
Senior Machine Learning Engineer at Adobe
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSohil Shah is a Senior Machine Learning Engineer with a decade of experience bridging fundamental research and production-grade ML systems, currently advancing AI at Adobe after leading research at Avataar and Intel Labs. He holds a PhD in Electrical and Computer Engineering from the University of Maryland and has a strong signal-processing and optimization background from IIT Bombay and MIT campus, which underpins his work on graph synthesis and 3D molecular conformation generation. Sohil’s career spans deep research—designing optimization algorithms for unsupervised learning, GANs, and semantic segmentation—to hands-on system design for mobile and DSP platforms, giving him rare fluency from low-level algorithms to scalable deployment. Known for tackling core, high-impact problems, he blends academic rigor with product-oriented execution and has moved between industry labs and applied research roles across Bengaluru and the US.
10 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology BombayDoctor of Philosophy (PhD) Electrical and Computer Engineering, Doctor of Philosophy (PhD) Electrical and Computer Engineering at University of MarylandB.E. Electronics and Communication, B.E. Electronics and Communication 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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