Greetings!

I am an Applied Researcher at Capital One in the AI Foundations Org. I graduated with my PhD from the Computer Science department at the University of Virginia advised by Dr. Aidong Zhang.

NEWS

September 2026: Defended my PhD Thesis! Started at Capital One as an Applied Researcher in NYC.

September 2026: 3 co-author papers accepted to NeurIPS 2026 (Acceptance Rate: ~25%)

July 2026: Paper accepted to EMNLP 2026 Findings (Acceptance Rate: ~30%)

March 2026: Co-author paper accepted to CVPR 2026 (Acceptance Rate: ~22%)

January 2026: Co-author paper accepted to ICLR 2026 (Acceptance Rate: ~28%)

November 2025: Paper accepted to AAAI 2026 (oral) (Acceptance Rate: ~17.4%)

August 2025: Paper accepted to EMNLP 2025 (main) (Acceptance Rate: ~22%)

November 2022: Paper accepted to AAAI 2023 (Acceptance Rate: ~19.6%)

Research Areas

I am broadly interested in VLMs, Multi-agent Systems, Interpretability and Robustness. Recently I have also worked with RL-based post-training and SFT for VLMs.

Previously, I have been involved around biometric research in facial recognition on human-like faces at IAB Lab.

Industry Experience

In Summer, 2025 I interned at Morgan Stanley, NYC, NY as a Machine Learning Research Intern working on RL based post-training of LVLMs. Link: Chart-RVR

In Summer, 2023 I interned at Alexa NLU, Cambridge, MA as an Applied Scientist Intern working on meta-learning based training approaches for LLMs.

In Summer, 2022 I interned at AWS Lex, Sunnyvale, CA as an Applied Scientist Intern working on domain adaptation of large speech models.

In Summer, 2020 I was a Machine Learning (Perception) Engineering intern at Unity, Seattle, WA in the AI@Unity division where I worked with image tracking and segmentation models for synthetic data.

Services

Reviewer:

TMLR, CVPR, ICLR, NeurIPS, ICML, ICCV - 2025

AAAI (PC), KDD, IJCAI, ICML (Invited) - 2024

ICDM, NeurIPS (Invited), NeurIPS XAIA , EMNLP Blackbox, EMNLP GenBench - 2023