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I recently graduated with a dual degree (B.Tech + M.Tech) in Electrical Engineering and Machine Learning from the Centre for Machine Intelligence and Data Science at IIT Bombay.

I was fortunate to be advised by Prof. Sunita Sarawagi. I am broadly interested in generative modelling and its applications. Part of my work at IIT Bombay was accepted at ICLR 2025.

Since graduation, I’m working as research assistant at Aalto University under Prof. Vikas Garg, developing new variants of Discrete Diffusion models.

I am interested in developing practical and efficient models that can support a wide range of inference tasks, as well as in exploring robust evaluation methods to better understand their capabilities and limitations.

You can find a list of my publications here, and explore my projects on my GitHub.

News

  • Nov 2025 » Workshop Paper: Masked Diffusion Models are Secretly Learned-Order Autoregressive Models at EurIPS 2025 Workshop on Principles of Generative Modeling
  • Sep 2025 » Received Excellence in CSE Teaching Assistantship Award for CS726 : Advanced Machine Learning course
  • Jul 2025 » Started research internship at Aalto University with Prof. Vikas Garg focusing on Discrete Diffusion
  • Jun 2025 » Graduated from IIT Bombay with a Dual Degree in Electrical Engineering and AI & Data Science
  • May 2025 » Received Undergraduate Research Award (URA03) from IIT Bombay for exceptional research contributions
  • Jan 2025 » Paper: “From Search to Sampling: Generative Models for Robust Algorithmic Recourse” accepted to ICLR 2025
  • Jan 2025 » Appointed Head Graduate Teaching Assistant for Advanced Machine Learning (CS726)
  • Aug 2024 » Paper: “Speeding up NAS with Adaptive Subset Selection” accepted to AutoML 2024
  • Feb 2024 » Paper: "Utilizing Radiomic Feature Analysis for Automated MRI Keypoint Detection" accepted to BIOIMAGING 2024
  • May 2023 » Summer internship at Qualcomm Technologies Inc. in the WLAN Firmware team