Srijan Sood
AI Researcher · J.P. Morgan AI Research · Georgia Tech
AI Research Lead building foundation models for financial markets and reinforcement learning systems for portfolio optimization. Founding member of J.P. Morgan's AI Research group.
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Career
JPM
AI Research Lead, Vice President
J.P. Morgan AI Research · 2023 – Present
Leading research on generative foundation models for market microstructure and reinforcement learning for portfolio optimization.
JPM
AI Research Scientist, Senior Associate
J.P. Morgan Chase · 2019 – 2022
Fair lending ML, synthetic data generation, graph machine learning for equities.
GT
M.Sc. Computer Science
Georgia Institute of Technology · 2018 – 2019
RL for language model alignment (Dr. Mark Riedl) and RL for trading (Dr. Tucker Balch).
AI
Machine Learning Engineer
Aerial Intelligence · 2017 – 2018
Satellite imagery ML for land-cover classification and crop yield prediction.
GT
B.Sc. Computer Science, Highest Honors
Georgia Institute of Technology · 2013 – 2017
AI & Embedded Devices. Thesis: Domain Adaptation in RL (Dr. Charles Isbell).
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Internships
Intel AI Labs · PayPal · Qualcomm · 2014 – 2016
Selected Publications
TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure
S. Sood*, M. Kawawa-Beaudan*, K. Papasotiriou, D. Borrajo, M. Veloso · Under Review
FinGraphEx: High Fidelity Financial Knowledge Graph Extraction
S. Sood*, K. Papasotiriou*, M. Kawawa-Beaudan, D. Borrajo, M. Veloso · ICAIF 2025
AI in Investment Analysis: LLMs for Equity Stock Ratings
K. Papasotiriou, S. Sood, S. Reynolds, T. Balch · ICAIF 2024
Deep Reinforcement Learning for Optimal Portfolio Allocation
S. Sood, K. Papasotiriou, M. Vaiciulis, T. Balch · ICAPS FinPlan 2023
Visual Time Series Forecasting: An Image-driven Approach
S. Sood, Z. Zeng, N. Cohen, T. Balch, M. Veloso · ICAIF 2021