Sukrit Mittal, PhD

Director of Engineering

Hyderabad, Telangana, India5 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in Generative AI and Reinforcement Learning for finance.
  • Led development of innovative goals-based investment solutions.
  • Published research in high-impact journals and conferences.
Stackforce AI infers this person is a FinTech expert specializing in AI-driven investment solutions and quantitative finance.

Contact

Skills

Core Skills

Generative AiReinforcement LearningOptimization TechniquesQuantitative SolutionsMechanical EngineeringDesign Engineering

Other Skills

Academic WritingAutoCADBudgetsCC++Career ManagementCollaborative LearningContinuous ImprovementCost OptimizationCreativity SkillsCustomer ServiceDesign VerificationDynamic ProgrammingEngineeringEnglish

About

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.

Experience

Franklin templeton

3 roles

Director, Principal Research Scientist - AI & Optimization

Promoted

Sep 2025Present · 6 mos · Hyderabad, Telangana, India · Hybrid

Senior Research Scientist - AI & Optimization

Promoted

Jan 2024Sep 2025 · 1 yr 8 mos · Hyderabad, Telangana, India · Hybrid

  • Driving foundational research and applied AI development in generative models and reinforcement learning for next-generation investment solutions.
  • Leading R&D initiatives on Generative AI and Reinforcement Learning, including digital twins for simulating complex financial processes like portfolio construction and asset allocation.
  • Spearheading innovation within the Goals Optimization Engine (GOE), integrating reinforcement learning to enhance goal-based wealth management.
  • Operating at a 50:50 split between foundational research (GenAI/RL) and product development, ensuring alignment between theoretical advances and real-world financial use-cases.
  • Defining the long-term research agenda based on business priorities, acting as a strategic interface between research and product, and contributing to investment technology roadmaps.
  • Representing the research team in the Product Review Committee, ensuring scientific rigor and future-facing capabilities are embedded into product decisions.
  • Key Presentations & Recognition:
  • 📄 Paper Presentations:
  • IEEE AIxB 2024, Los Angeles, USA
  • Journal of Investment Management (JOIM) Conference 2024, MIT, Boston, USA
  • 🎤 Keynote:
  • Global Analytics Conference (CATT) 2024, University of Texas at Austin
  • 📄 Tutorials:
  • IEEE CEC 2025 @ Hangzhou, China
  • ACM GECCO 2025 @ Malaga, Spain
Generative AIReinforcement LearningGoals Optimization EngineInvestment TechnologyFoundational Research

Quant Development, Specialist

Jun 2022Dec 2023 · 1 yr 6 mos · Hyderabad, Telangana, India · Hybrid

  • First research hire on the Goals Optimization Engine (GOE) team, leading the design and development of quantitative solutions for goals-based wealth management at scale.
  • Led the research-to-development pipeline for GOE, a proprietary goals-based investing platform that aligns portfolio construction with individual investor objectives.
  • Developed and refined optimization models for personalized asset allocation, incorporating risk tolerance, time horizons, and probabilistic goal attainment metrics.
  • Acted as a bridge across functions — collaborating with researchers, product managers, senior leadership, and developers to shape GOE’s roadmap.
  • Introduced scalable frameworks for simulation, validation, and performance attribution of investment strategies under varying market conditions.
  • Reviewer - IEEE CEC 2023
Quantitative SolutionsOptimization ModelsRisk TolerancePerformance AttributionOptimization Techniques

Michigan state university

Visiting Scholar

Feb 2020Jun 2020 · 4 mos · East Lansing, Michigan, United States · On-site

  • Pursued part of my PhD research in collaboration with faculty (Prof. Kalyanmoy Deb & Prof. Erik D. Goodman) at MSU, focusing on ML-assisted evolutionary optimization under the SPARC initiative by MHRD, Government of India.

Mahindra and mahindra limited [automotive and farm equipment business]

2 roles

Engineer (Assistant Manager)

Aug 2017Jun 2018 · 10 mos · Chennai, Tamil Nadu, India · On-site

  • Worked on the design, testing, and validation of manual transmission systems for the Mahindra Scorpio N, focusing on performance, reliability, and cost optimization.
  • Contributed to the development and refinement of the 6-speed manual gearbox, improving shift quality.
  • Aligned component design with manufacturing tolerances and material specs.
  • Assisted in DFMEA reviews and played a key role in design verification planning and documentation.
  • Key Achievement:
  • 🚗 Played a critical role in getting the gearbox program of Scorpio N from alpha prototype to production intent stage, contributing directly to its successful market launch.

Graduate Engineer Trainee (GET)

Aug 2016Jul 2017 · 11 mos · Chennai, Tamil Nadu, India · On-site

  • Awarded "Best GET of the Year (2016-17)" by Mahindra Technical Academy.
Manual Transmission SystemsDesign VerificationCost OptimizationMechanical EngineeringDesign Engineering

Jcb india ltd.

Summer Intern

May 2015Jun 2015 · 1 mo · Ballabgarh · On-site

Education

Indian Institute of Technology, Roorkee

Ph.D. — ML-assisted Optimization

Jul 2018Aug 2022

Indian Institute of Technology, Roorkee

B.Tech. — Mechanical Engineering

Jul 2012May 2016

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