I am a Machine Learning Researcher with research interests in Natural Language Processing, Intepretability, LLMs and Algorithmic Fairness. I am currently focusing on learning about new areas in machine learning and prioritizing mental and physical health.
Previously, I was an Applied Scientist at Amazon Alexa AI (2017-2023) where I had the opportunity to work on various NLU problems ranging from semantic parsing, multi-lingual modeling to tackling the bias and fairness issue in machine learning systems.
I received my Masters from Georgia Tech advised by Professor Le Song. Before that, I worked as an engineer at Bloomreach where I worked on clickstream data processing and search relevance. I obtained my Bachelors in Computer Science from IIT Ropar advised by Professor Apurva Mudgal.
I am originally from Northern India. I spent my early childhood close to forests in the Terai belt. Before starting my Computer Science journey, I wanted to be a physicist. In addition to my research interests, I love to cook, bike, read, learn piano, and occasionally travel. Feel free to reach out to chat about potential collaborations!
- Google Summer of Code Student developer - 2011
- Donald V Jackson fellowship for outstanding Masters students - 2016
- Open source committer, Apache Software Foundation - [2011-2012]