abc

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. 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.


Updates

Oct 2024:Featured in UCLA News for the Bloomberg Data Science Ph.D. Fellowship.
Oct 2024:Awarded the Bloomberg Data Science Ph.D. Fellowship for the academic year 2025-2026
Sep 2024:Completed my internship in the Gen AI team at Meta
Sep 2024:Two of our works on QUDSelect and SPEED++ got accepted at EMNLP 2024
Jul 2024:Arxived our work on QUDSELECT: Selective Decoding for Questions Under Discussion Parsing [paper]
Jun 2024:Started my internship in the Gen AI team at Meta
Jun 2024:Gave a poster presentation for CLAP at NAACL 2024
Jun 2024:Gave an oral presentation for SPEED at NAACL 2024
Jun 2024:Awarded the Amazon Fellowship for the academic year 2024-2025
May 2024:Our work on TextEE got accepted at ACL Findings 2024
Mar 2024:Two of my works on CLAP and SPEED got accepted at NAACL 2024
Mar 2024:Passed my Oral Qualifying Examination and became a PhD Candidate
Nov 2023:Arxived our work on Reevaluation of Event Extraction: Past, Present, and Future Challenges [paper]
Oct 2023:Serving as the Program Chair for the Socal NLP Symposium 2023
Sep 2023:Arxived our work on Contextual Label Projection for Cross-lingual Structure Extraction [paper]
Jul 2023:Presented our work on Generalizability Benchmarking Dataset for Event Argument Extraction at ACL 2023 [paper]
Jun 2023:Completed Teaching Assistantship for 3 courses - Machine Learning, Natural Language Processing (undergrad), Natural Language Processing (graduate)
May 2023:Our work on Generalizability Benchmarking Dataset for Event Argument Extraction accepted at ACL 2023 [paper]
May 2023:Gave a guest lecture for the CS 263 (Natural Language Processing) class at UCLA
Jun 2022:Started my summer internship at Amazon Alexa as an Applied Scientist Intern
May 2022:Arxived our work on Generalizability Benchmarking Dataset [paper]
Apr 2022:Cleared the Written Qualifying Exam (WQE) towards my PhD
Oct 2021:Granted the UCLA PhD Fellowship for the first year
Sept 2021:Started my PhD in Computer Science at UCLA
Aug 2021:Graduated as a Masters student in Language Technologies from CMU
Nov 2020:Presented our work on linguistic accommodation for code-switched dialogues at CoNLL '20 [paper]
Aug 2020:Represented CMU at the Alexa Socialbot Challenge 3 and reached the Semifinals.
Jul 2020:Our work on politeness transfer got featured in SCS CMU News, TechCrunch, CNET, Pittsburgh Post-Gazzette, MSN, Hindustan Times, Axios
Jul 2020:Presented our work on politeness transfer at ACL '20 [paper]
May 2020:Reached the semifinals of the Alexa SocialBot Challenge 2020
Aug 2019:Joined the MLT program at LTI, CMU for Fall '19
Mar 2019:Our work on Named Entity Recognition in partially and noisy labelled setting got accepted at AMLC '19
Nov 2018:Presented our work on dual rnns to improve code-switched language models at EMNLP '18 [paper]
Sep 2018:Received the ISCA Student Grant
Sep 2018:Presented our work on dual language models to improve code-switched speech recognition at Interspeech '18 [paper]
Aug 2018:Graduated from IIT Bombay
Jul 2018:Started working as Applied Scientist at Amazon in the Machine Learning team
Dec 2017:Invited to Microsoft Research India to ideate and devlop Indian language technologies
May 2017:Summer Internship at Goldman Sachs
May 2016:Summer Internship at Philips Innovation Center
Dec 2015:Winter Internship at Edelweiss
Jul 2015:Secured branch change to Computer Science
May 2015:Summer Internship at Sportz Interactive
Jul 2014:Joined IIT Bombay