About

I recently completed my Integrated M.Tech in Mathematics and Computing at the Indian Institute of Technology (IIT) Dhanbad. I have been actively involved in machine learning research since my sophomore year, focusing on areas such as efficient machine learning, multimodality, and reinforcement learning and fortunate to publish my work in top machine learning conferences.

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
Research Intern Feb 2025 - May 2025
Worked on improvement of reasoning process of smaller language models on mathematical tasks.

Amazon
Applied Scientist Intern Aug 2024 - Dec 2024
Worked on alignment of large language models with user preferences by using reinforcement learning for synthetic query generation.

Adobe
Research Intern May 2024 - July 2024
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
Open Source Contributor Aug 2023 - Sep 2023
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
Research Intern May 2022 - Dec 2022
Developed MixBin, a binarization-based network compression method combining binary and full-precision components in CNNs, outperforming previous methods on ImageNet.