Srijan Sood

AI Research Lead at J.P. Morgan

New York, New York, United States
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Summary

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Senior
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Top School
Srijan Sood is an AI Research Lead at J.P. Morgan with 11 years of experience building and deploying ML and RL solutions across financial services, from equities and portfolio optimization to fair lending and synthetic data generation. A founding member of the firm's AI Research group led by Dr. Manuela Veloso, he has transitioned research concepts—graph ML, HMMs, RL and GANs—into production-focused initiatives and university partnerships with Columbia and CMU. His background blends deep RL and sequence modeling research from Georgia Tech with applied data science on satellite imagery and high-throughput engineering at Intel Nervana and PayPal. He is practiced at bridging academia and industry, mentoring students and collaborating on published work in RL and interactive storytelling. Notably, he has built cross-domain RL agents and practical AutoML/bias-mitigation tooling for credit decisioning, demonstrating a knack for turning complex research into regulatory-aware, production-ready systems. Based in New York, he combines rigorous academic foundations with hands-on product delivery in regulated financial environments.
code11 years of coding experience
job8 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
bookK-12 PCM with Computer Science, K-12 PCM with Computer Science at St.Columba's School, New Delhi
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Github Skills (29)

hyper8
css7
linux7
react7
html6
macos6
intellisense6
javascript6
cli5
vscode5
vscode-extension5
python5
visual-studio-code4
visual-studio4
pylint3

Programming languages (2)

TypeScriptPython

Github contributions (5)

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adwaydhillon/Voter

Nov 2014 - Nov 2014

Contributions:48 commits in 5 days
srijansood/beastcode

Jan 2015 - Mar 2015

Contributions:27 pushes, 13 branches, 1 tag in 2 months
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