abc

Hey there! I am a third year PhD student in Computer Science at University of California, Los Angeles. I am being adviced by Prof. Kai-Wei Chang and Prof. Nanyun Peng. My research focuses on improving the utilization of Large Language Models (LLMs) for applications in Information Extraction (specifically Event Extraction) across various languages and domains.

I graduated as a Masters student 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.

Before, I worked for a year in the Machine Learning team at Amazon. I have previously interned at Amazon Lab 126 (Summer 2022) Goldman Sachs (Summer 2017), Philips (Summer 2016), Edelweiss (Winter 2015) and Sportz Interactive (Summer 2015).

In my free time, I like to write poetry (my blog) and paint. I love playing soccer, basketball, and tennis too.


Updates

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