About Me
I am currently a student researcher at the Johns Hopkins Center for Language and Speech Processing working on LLM reasoning, as well as a computer science student at Johns Hopkins University with a focus on Artificial Intelligence, Machine Learning, Computer Vision, and Robotics.
Projects
Transparent Reasoning with Large Language Models (Advisor: Dr. Benjamin Van Durme)
Johns Hopkins Center for Language and Speech Processing
October 2024 – Present
- Researching social natural language inference (NLI) to improve how LLMs interpret elements like sarcasm, humor and irony.
- Developing taxonomy of language model failure modes on dialogue-centric data, with Python and LangChain.
- Leveraging SFT and RLFT to improve language models' abilities to create uncertainty-calibrated entailment judgements
Nuss Bar (Advisor: Dr. Peter Kazanzides)
Johns Hopkins Laboratory for Computational Sensing and Robotics
February 2024 - Present
- Creating desktop planning and visualization app to aid clinicians in shaping bar for Nuss Procedure, used to correct Pectus Excavatum
- Conceiving user study comparing efficacy of Nuss bar prototypes shown in augmented reality vs. 3D printed bars
SurgiSimulate (Advisor: Dr. Peter Kazanzides)
Johns Hopkins Laboratory for Computational Sensing and Robotics
February 2022 - July 2023
- Constructed a mobile application using Swift and Objective C to control a da Vinci Research Kit (dVRK)
- Leveraged ARKit to capture transformation of mobile devices and ROS and Python for robot control
- Designed and ran a user study with 16 participants to compare performance of mobile app with existing input devices
- Presented research at the Hamlyn Symposium on Medical Robotics
Work Experience
Technical Advisor Intern - GenAI
Scale AI
Novemeber 2024 - Present
- Solving Olympiad-level competitive programming (CP) problems to support training a code-reasoning LLM.
- Crafting specialized prompts enabling LLMs to solve CP problems only ∼10% of competitive programmers can solve.
Software Development Engineering Intern
Amazon
May 2024 - August 2024
- Devised and developed multi-agent Small Language Model (SLM) frameworks using Amazon Nova and Anthropic Claude, achieving a ∼220% increase over baseline on the TravelPlanner dataset, which evaluates language agents’ planning abilities.
- Implemented data pipeline for low-latency, asynchronous problem execution, which was used for quickly evaluating agents.
Software Engineering Intern
PayPal
May 2023 - August 2023
- Redesigned monetary transactions API with an eventually consistent data strategy, caching transactions in a local database to eliminate multiple mid-tier API calls for estimate tens of thousands daily Buy Now Pay Later transactions.
- Improved API performance, reducing latency by ∼100ms per API call, leveraging Java, Spring Boot, and SQL.
Publications
QAagent: A Multiagent System for Unit Test Generation via Natural Language PseudocodeProceedings Article
In: Proceedings of the AAAI Conference on Artificial Intelligence, 2025. (Accepted for Publication)
BibTeXFeasibility of Mobile Application for Surgical Robot TeleoperationProceedings Article
In: Hamlyn Symposium on Medical Robotics, pp. 121-122, 2023.
BibTeXAchievements
- Pistritto Fellowship
- Pava Center for Entrepreneurship Ignite Grant
- JHU Whiting School of Engineering Undergraduate Conference Travel Grant
- JHU Student Sponsorship Initiative Award
- Ongoing Venture Prize and Most Creative Use of Twilio at HopHacks Fall 2021