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 
. I am based out of New York 
.
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. I also received the Donald V Jackson fellowship for outstanding Masters students.
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. During undergrad, I was an intern with the 
Google Summer of Code program and was later voted as a top-level committer for the open‑source project Apache Hama 
.
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 new songs on the piano 🎹 (brute-force), and occasionally travel ✈️.
I have more ideas than time and energy to bring them to fruition. Whether you’re interested in collaboration (as equals, mentee, or mentor) or just want to discuss the math behind machine learning or the research meta-process and living a good life, let’s talk!
― Professional Journey ―
