About me
I’m a final year Computer Science Ph.D. candidate at Virginia Tech advised by Dr. Chandan Reddy. My research interests fall broadly under the umbrella of trustworthy and responsible AI with a focus on fairness, interpretability, and robustness of generative models – particularly in the domain of natural language processing (NLP). I focus on building systems that are fair and robust across text, code, and visual modalities. I have also interned at Google Research where I worked with Vinodkumar Prabhakaran and Sunipa Dev on identifying vulnerabilities in large language models (LLMs) across text and visual modalities, at scale.
Prior to starting my Ph.D., I was a research intern at the University of Michigan, Ann Arbor where I worked with Dr. David Jurgens and Dr. Libby Hemphill on identifying offensive comments and de-escalating conflicts on social media platforms. I also worked briefly as a software engineer at Intuit, India. Before that, I completed my MS by research in Computational Linguistics and Bachelors in Computer Science from IIIT, Hyderabad, India.
What’s new?
- May 2024: Our paper ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation was accepted at ACL 2024!
- Feb 2024: I am on the industry job market and actively looking for research positions. Please reach out if you think we’d be a good fit.
- Jan 2024: Passed my prelims exam successfully. I am now ABD (All But Dissertation)!
- May 2023: Started a research internship with the Responsible AI org at Google Research in sunny California!
- May 2023: Our paper SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models was accepted at ACL 2023.