I am an AI Researcher with primary interests in Natural Language Processing. I am currently interested in AI Safety, Alignment, Reasoning and AI Content Detection. I work as a Senior ML Engineer at Bloomberg Law where I focus on AI Safety in the Legal domain. I am also a Ph.D. student at NJIT.
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, focusing on Knowledge-Base Question Answering where I explored techniques such as Memory Networks and Graph-Embeddings. Prior to grad school, 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 on Robot Localization.
I am originally from Northern India. I spent my early childhood close to forests on India-Nepal border. 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.
My journey from a middle-class Indian family to working in AI in the US reminds me daily of the transformative power of education - and of the many equally talented individuals who never receive such opportunity. It is my deepest aspiration to honor this privilege by contributing to the development of intelligent systems that are both innovative and safe for humanity.
Feel free to reach out to chat about potential collaborations !
Other notables
- Google Summer of Code Student developer - 2011
- Donald V Jackson fellowship for outstanding Masters students - 2016
- Open source committer, Apache Software Foundation - [2011-2012]
― Professional Journey ―
