CV

A more detailed PDF version of my CV is available here.

Education

• Ph.D. in Computer Science (Year-II)
  University of Massachusetts Amherst
  Advisor: Prof. Scott Niekum
  CGPA: 4.0/4.0
  September 2023 – Present

• B.Tech in Electrical Engineering
  Indian Institute of Technology Madras
  CGPA: 9.20/10
  August 2016 – July 2020

Work Experience

• Machine Learning Research Associate
  Adobe, Noida
  February 2022 – July 2023
  • Developed counterfactual explanation policies for RL using policy space counterfactuals, published at ICML’23 workshop on Counterfactuals.
  • Proposed explainability framework for offline RL, attributing decisions to trajectories, published at ICLR’23.
  • Designed the MONOMER algorithm for one-shot document snippet detection, outperforming state-of-the-art methods. Published at WACV’23.
  • Filed 12 U.S. patents in areas such as explainability, multimodal learning, and marketing decision-making.
• Machine Learning Engineer
  Adobe, Noida (Work from Home)
  June 2021 – January 2022
  • Streamlined model deployment for Adobe’s Automated Forms Conversion Service.
  • Converted proprietary datasets to MS-COCO format.
  • Developed models for detecting table bounds in form documents, leading to a 7% improvement in document conversion quality.
• Member of Technical Staff
  Adobe, Noida (Work from Home)
  August 2020 – May 2021
  • Enhanced customer journey management by reducing churn rate by over 20% using inverse RL methods.
  • Implemented improvements in multimodal element association precision and recall.
  • Drafted and filed a patent for refining form structures using segmentation masks.
• Summer Research Intern
  Adobe, Noida
  May 2019 – August 2019
  • Co-developed a novel saliency metric for visual explanations of RL agents, published at ICLR’20.
• R&D Intern
  Center for Development of Advanced Computing (CDAC), Pune
  December 2018 – January 2019
  • Developed FORTRAN libraries to optimize Intel Linear Algebra Kernels for matrix computations as part of the National Supercomputing Mission.

Publications

You can find my publications here.

Service and Leadership

• Reviewer for AAAI’25, ICLR’25, ICLR’24, NeurIPS’23.
• Member of the organizing committee for Adobe Digital Experience (DX) ML Hackathon, 2023.
• Mentored 9 undergraduate summer interns (2021–2023) at Adobe on RL and multimodal learning projects.
• Moderator at Liberty, Equality, and Fraternity (LEAF) Society, IIT Madras, January 2020 – May 2020.
• Coordinator at Extra Mural Lectures (EML), IIT Madras, June 2017 – May 2018.