Sukrit Mittal

Sukrit Mittal is the Director of AI & Optimization Research at Franklin Templeton, leading a team of data scientists and developers. He focuses on leveraging advanced AI—including Generative AI and Reinforcement Learning—alongside optimization techniques to conceptualize and develop innovative financial products and solutions. He plays a key role in designing product variants, enhancing features, and tailoring solutions across multiple distribution lines and geographies, applying his expertise in quantitative finance, data science, and product development.

He has close to seven years of research experience in optimization and machine learning, actively collaborating with renowned researchers. Prior to his current role, he was invited as a visiting researcher at Michigan State University. Currently, he is applying reinforcement learning methods to solve the goals-based wealth management problem and exploring Generative AI for creating digital twins in financial processes.

He holds a Bachelor of Technology in Mechanical Engineering and a Doctorate in Optimization Algorithms from the Indian Institute of Technology Roorkee, along with a Data Science for Investment Professionals Certificate from the CFA Institute, US. He has co-authored the book “Machine Learning Assisted Evolutionary Multi and Many-objective Optimization”, published several research papers in high-impact journals, and holds a granted patent.