I am a Software Engineer at Google, and a member of the YouTube Shorts Recommendation team, engineering the algorithms that power the global Shorts feed.

I obtained my masters in Computer Science from Courant Institute of Mathematical Sciences, New York University (NYU). I have a background in Mathematics (INMO Awardee), Statistics and Programming. I completed my undergraduate degree (B.Tech) at the Indian Institute of Technology Kanpur (IITK), in the Electrical Engineering Department in 2021.

My experience spans both academic and industrial domains. My research interests lie within the field of Deep Learning and Natural Language Processing, with prior experience in enhancing the efficiency of voice assistants at Samsung Research. I also worked as a software engineer at Amazon in summer of 2025.

Apart from my academic interests, I love to play football, journal, read novels, and keep up with current developments around the world.

Background

Software Engineer @ Amazon

After graduating from grad school, I worked at Amazon where I worked for upgradation of data pipelines, which improved performance, resolved backward compatibility issues, managed dependencies and addressed runtime changes across services

Master’s in Computer Science @ NYU Courant

My academic journey at NYU involved comprehensive coursework and projects in Reinforcement Learning, Deep Learning, Natural Language Processing and Computer Vision. Apart from this, I also undertook courses such as Distributed Systems and Big Data Processing amongst others.

Software Engineer @ Samsung Research

Prior to joining NYU Courant, I worked at Samsung Research, where I was a key member of the Voice Intelligence team. Our primary focus was on developing an innovative few-shot learning classification framework to assess the performance of Bixby Voice Assistant. We employed various data augmentation techniques and cutting-edge attention models to classify user sessions effectively.

Intern @ Samsung Research

During my internship at Samsung Research, I played a vital role in enhancing the functionality of the Bixby Voice Assistant as part of the Voice Intelligence team. I focused on training and optimizing various recommendation models to elevate the overall performance. My tasks involved conducting thorough benchmarking to evaluate the efficiency of classification models within the Bixby Voice Assistant recommendation system.

Electrical Engineering Undergrad @ IIT Kanpur

My academic journey at IIT Kanpur involved comprehensive coursework covering Control Theory, Microelectronics, Circuits, and other fundamental subjects. In addition to these, I delved into elective courses such as Algorithms, Data Structures, Machine Learning, Game Theory, and Micro/Macroeconomics amongst others.