curriculum vitae
Download PDFA comprehensive overview of my academic and professional history. For a condensed version, see my resume.
education
University of Maryland, College Park
B.S. in Computer Science (Honors) & B.A. in Linguistics (Minor in Korean Studies) · Expected May 2027
Advisors: Prof. Rachel Rudinger & Prof. Jordan Boyd-Graber
Coursework: Natural Language Processing (Grad), Commonsense Reasoning (Grad), Machine Learning, Data Science, Parallel Computing*, Computer Systems, Syntax, Phonetics, Psycholinguistics.
experience
Learn Prompting
May 2025 – present
Member of Technical Staff (San Francisco, CA)
- Researching robustness of AI safety judges against CBRNE-related adversarial content.
- Running Hackaprompt, the world's largest red-teaming hackathon, overseeing user engagement and technical challenges.
University of Maryland, College Park
May 2024 – present
Undergrad Researcher, CLIP Lab
Advisors: Prof. Rachel Rudinger & Prof. Jordan Boyd-Graber
- Validated robustness of LLM-generated MCQs for unintended artifacts to assess if questions are solvable without full context, providing a framework that improves the reliability of synthetic data for benchmark evaluation.
- Architected an adversarial benchmark to test VLM capabilities in detecting out-of-context (OOC) video-based misinformation on social media based on multimodal clues and user interactions.
The University of Texas at Arlington
Feb 2024 – present
Visiting Researcher, ACL2 Lab & NSF
Advisor: Prof. Kenny Zhu
- Designed AniVoice-cat, a dataset of 26,000+ annotated cat vocalizations from 250+ hours of video and identified 57 unique cat phones, establishing a foundational resource for computational research in non-human communication.
- Improved transcription pipeline using PANNs and HuBERT models to 96% accuracy with 93% top-5 accuracy in action recognition, setting a new state-of-the-art for automated animal vocalization analysis.
University of Maryland, College Park
Dec 2023 – Aug 2024
Researcher, FIRE Sustainability Analytics Lab
Advisor: Prof. Thanicha Ruangmas
- Developed Python pipeline for environmental impact assessments of U.S. emissions, enabling more efficient policy.
- Drafted a framework to guide evidence-based policymaking on climate restoration strategies.
Brown University
Dec 2020 – June 2023
Researcher, Reinforcement Learning at Brown Group
Advisor: Prof. Michael Littman
- Developed a custom RL environment that empowered non-technical users to programmatically solve complex tasks by defining reward functions and specifying agent behavior, reducing task setup time.
- Published and presented research at two top-tier workshops (AAAI, RLDM), demonstrating how human-readable interfaces enable fine-grained control during inference and improve AI-human interaction in robotics.
publications
Preprints * — equal contribution
- BenchMarker: An Education-Inspired Toolkit for
Highlighting Flaws in Multiple-Choice Benchmarks.
Nishant Balepur, Bhavya Rajasekaran, Jane Oh, Michael Xie, Atrey Desai, …, Jordan Boyd-Graber.
(Under Review at ACL). - Emergence of Filler–Gap Mechanisms in
Developmentally Constrained Language Models.
Atrey Desai and Sathvik Nair.
(Under Review at TLS, ACL). - Test-Time Reasoners Are Strategic
Multiple-Choice Test-Takers.
Nishant Balepur, Atrey Desai and Rachel Rudinger.
arXiv:2510.07761 (Under Review at ACL Rolling Review). - A Preview of Computational Animal Linguistics.
Atrey Desai, Tirza Panunto, Lindsay Pike, Theron S. Wang, Tuan M. Dang, Hridayesh Lekhak and Kenny Q. Zhu.
(Under Review at Computational Linguistics).
Conference Publications
- Language Models Generate Multiple-Choice
Questions with Artifacts.
Atrey Desai, Nishant Balepur and Rachel Rudinger.
Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL), 2025. - Reinforcement Learning As End-User
Trigger-Action Programming.
Chace Hayhurst, Hyojae Park, Atrey Desai, Suheidy De Los Santos and Michael Littman.
AAAI Conference on Artificial Intelligence (AAAI) IML Workshop, 2022.
Reinforcement Learning and Decision Making (RLDM), 2022.
See the full list on my research page.
honors & awards
talks
Adaptor Grammars and Neural Networks for Feline Lexical Discovery
- The University of Texas at Arlington — July 2024
- University of Maryland, College Park (adapted) — Nov 2024
professional responsibilities
Appointed by faculty and student body to serve as vice chair; represent 4,200+ CS undergraduates.
Represented 1000+ peers, ran events & workshops, and reformed class curricula.
Represented the CS Dept. & CMNS College at admissions events and to official guests.
Mentorship
- Office of Undergraduate Research: Juan Cortés, Kemisola Benson, Vivian Akpala — 2025
- Technica Mentoring: Savya Miriyala, Tanya Grover, Jessica Ononye, Nakshatra Hiray — 2024
- Technica Hackathon: Volunteer and mentor — Oct 2024
- MSET Robotics Workshops: Organizer and curriculum designer — 2020 – 2022
skills
Languages: Python, Java, JavaScript/HTML/CSS, R, MATLAB.
Libraries/Frameworks: Huggingface (Datasets, Transformers), NLTK, PyTorch, Selenium, BeautifulSoup.
Tools: Git, Docker, GCP, Google Vertex AI, VS Code.
Natural Languages: English (Native), Gujarati (Native), Spanish (Intermediate), Korean (Beginner).