Abhishek Sarkar is an accomplished AI/ML Lead and Vice President at JPMorgan Chase, where he leads the design and deployment of machine learning models that power mission-critical decisions across the customer credit lifecycle. With over six years of experience spanning risk optimization, deep learning, and statistical modeling, Abhishek’s innovations have delivered measurable business value including a transaction-level risk model that scores around 40 million transactions daily and contributes over $300 million in annual revenue.
Abhishek holds dual master’s degrees from Cornell University (Applied Statistics) and Stanford University (Structural Engineering), both with a perfect GPA of 4.0, and earned his undergraduate degree as the valedictorian from the National Institute of Technology, India. He brings a rare blend of theoretical rigor and applied impact, having previously contributed to structural reliability projects at Mar Structural Design and advanced object detection systems at Ericsson Research.
His work at JPMorgan Chase includes developing multi-target regression models using Transformers, researching explainability in multi-class XGBoost models, and building AI-powered financial advisory tools like the Chase AI Advisor, which integrates GPT-2 and reinforcement learning for real-time customer interaction.
Abhishek is also a registered peer reviewer for journals including Journal of Financial Risk Management and Mathematical Finance and multiple IEEE conferences, and a published researcher in both financial and structural domains. Recognized with prestigious honors such as the KC Mahindra Scholarship, OP Jindal Scholarship, Global Recognition Awards 2025, Royal Fellow of IOASD, Lifetime Fellow at Hackathon Raptors and a nominated Senior Member of the prestigious IEEE Organization, he exemplifies multidisciplinary excellence and forward-thinking AI leadership.