About

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I am currently working as a Research Associate at Adobe. I completed my Integrated M.Tech in Mathematics and Computing at the Indian Institute of Technology (IIT) Dhanbad. Since my sophomore year, I have been actively involved in machine learning research, focusing on efficient machine learning, multimodality, and reinforcement learning, and have been fortunate to publish my work in top machine learning venues.

In addition to research, I enjoy participating in Kaggle competitions and in my free time, I like to paint and play badminton.

Experiences

Microsoft Research Feb 2025 – May 2025
Research Intern

Worked on improvement of reasoning process of smaller language models on mathematical tasks.

Amazon Aug 2024 – Dec 2024
Applied Scientist Intern

Worked on alignment of large language models with user preferences by using reinforcement learning for synthetic query generation.

Adobe May 2024 – July 2024
Research Intern

Developed a novel, efficient multimodal model for user interface navigation, achieving state-of-the-art performance on the largest UI benchmark, Android In The Wild (AITW).

Google Summer of Code Aug 2023 – Sep 2023
Open Source Contributor

Utilized LLMs to address a high-energy physics problem, focusing on accurately predicting square amplitude expressions from amplitude expressions for QCD and QED particles.

Transmute AI May 2022 – Dec 2022
Research Intern

Developed MixBin, a binarization-based network compression method combining binary and full-precision components in CNNs, outperforming previous methods on ImageNet.