Abhishek Sarkar

About Abhishek Sarkar

Abhishek Sarkar has established himself as a leading expert in machine learning and risk optimization over the past five years. As an AI/ML Lead at JPMorgan Chase, he has spearheaded the design, development, and implementation of machine learning models that drive critical decisions in the financial sector. His contributions include transaction-level risk models that generate substantial annual revenue and a groundbreaking multi-target regression neural network for predicting financial outcomes. Beyond model development, he has engaged in research focused on explainability in multi-class classification, ensuring compliance with industry regulations while enhancing transparency in AI-driven risk management systems.Prior to his tenure at JPMorgan Chase, Abhishek gained extensive experience in AI applications at Ericsson Research, where he tackled complex computer vision challenges to accelerate the deployment of 5G networks. His innovative approach led to the development of object detection models capable of identifying empty spaces on electric poles, achieving an impressive 89% F1 score. Additionally, his early career in structural engineering at Mar Structural Design Inc allowed him to work on earthquake probability analysis, fragility assessments, and high-profile projects, including a high-rise development in Dubai. These formative experiences laid the groundwork for his transition into AI-driven risk optimization and statistical modeling.Abhishek\'s academic foundation is equally impressive, with advanced degrees in Applied Statistics from Cornell University and Structural Engineering from Stanford University. His expertise spans deep learning, Python, R, neural networks, and AI applications, making him a versatile leader in the field. His research contributions, including peer-reviewed publications and innovative AI solutions, highlight his commitment to advancing machine learning methodologies. With a strong background in risk management, predictive modeling, and financial applications, Abhishek continues to shape the future of AI in the financial industry through cutting-edge innovations and regulatory-compliant machine learning practices.

Experience

1. Vice President, Applied Ai Ml Lead

   JPMorganChase

   Jan 2024 — Present

   Leading the design, development, and implementation of ML models to drive impactful decisions throughout the customer lifecycle, including acquisition, account management, credit authorization and collections. For instance, developed and deployed transaction-level risk models generating $300MM in annual revenue, along with a multi-target regression neural network project; engaged in research on multi-class explainability with XGBoost.

Education

• Stanford University

  Master’s Degree, Structural Engineering

  2014 — 2016

• Cornell University

  Master of Science - MS, Applied Statistics

  2019 — 2020

• National Institute of Technology Durgapur

  Bachelor’s Degree, Civil Engineering

  2010 — 2014

Skills

• C
• C++
• Matlab
• Microsoft Office
• Programming
• Microsoft Excel
• Java
• Powerpoint
• Microsoft Word
• Sap2000
• Etabs
• Autocad
• Revit
• Python
• Research