Hey there! I am a fourth-year PhD student in Computer Science at the University of California, Los Angeles. I am being adviced by Prof. Nanyun Peng and Prof. Kai-Wei Chang. I’m a recipient of the Amazon Science Hub Fellowship and the Bloomberg Data Science Ph.D. Fellowship. My research focuses on improving the planning and reasoning capabilities of Large Language Models (LLMs) for applications in Information Extraction (specifically Event Extraction). I also specialize in building generalized frameworks that perform well across various languages and domains.

I graduated as a Masters student (MLT) from Language Technologies Institute (LTI) at Carnegie Mellon University. There, I was advised by Prof. Alan W. Black and worked on topics like style transfer and code-switched dialogue systems. Previously, I received my undergraduate degree – Bachelor of Technology in Computer Science – from IIT Bombday. As part of my thesis, I worked on Language Modelling for code-switched language under the guidance of Prof. Preethi Jyothi.

As part of PhD internships, I have interned at Meta Gen AI (Summer 2024) and Amazon Lab 126 (Summer 2022). Before, I worked full-time for a year in the Machine Learning team at Amazon. I have previously interned at Goldman Sachs (Summer 2017), Philips (Summer 2016), Edelweiss (Winter 2015) and Sportz Interactive (Summer 2015).

In my free time, I like writing poetry, painting, and watching sports. I love playing soccer, basketball, and tennis too.

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