Summary
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.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
K-12 PCM with Computer Science, K-12 PCM with Computer Science at St.Columba's School, New Delhi