I am a PhD student at NYU (as a part of the TAUR lab), co-advised by Professor Greg Durrett and Professor Jessy Li. I am also a Visiting Research Scientist at Meta/FAIR in NYC, working with Jesse Dodge. I am currently supported by the Meta AI fellowship.
My interests lie in evaluating language models on open-ended generation tasks (CREATE, EvalAgent, SmoothScore, GENIE), and in finding ways to train and improve them (Set-level RL, Detect-Critique-Refine, SkillFactory) in domains like knowledge QA, long-form generation, scientific ideation, and creative problem solving.
I started my PhD at UT Austin, where I was a part of the UT NLP group.
Experience
During my PhD, I have worked with Adobe (Document Intelligence team) and Salesforce Research (Interactive AI team).
Before my PhD, I was an Associate Research Engineer with the R&D team at Goldman Sachs for three years. This team was led by Vijay Saraswat. I closely worked with Johannes Hoffart and Luciano Del Corro on problems in the space of Document AI and Conversation Understanding specific to the field of Finance.
I completed my Master's in Computer Science from Johns Hopkins University where I worked with Professor Mark Dredze. I did my undergrad from IIIT-Delhi where I majored in Computer Science.
News
- Started as a Visiting Research Scientist at Meta/FAIR in NYC!
- GENIE accepted to EMNLP 2026!
- Interning with Salesforce Research in CA!
- Co-presenting SkillFactory at ICLR 2026! See you in Brazil!
- Selected for the Bloomberg Data Science PhD Fellowship! (Unfortunately could not accept due to a prior commitment)
- Moved to NYU as a fourth year PhD student with my advisor!
- Cleared my qualification presentation at UT Austin!
Older news
- EvalAgent and QUDSim accepted to COLM 2025! See you in Montreal! 🇨🇦
- Learning to Refine accepted to EMNLP 2024 Findings! See you in Miami! 🌴🦩
- First PhD paper (Explanation-Based Rescaling) accepted to COLM 2024! See you in Philly!
- Started Internship at Adobe Research, with the Document Intelligence Team!