hi, I'm
Incoming freshman at Carnegie Mellon University, School of Computer Science
Maryland, USA
I like building things with code. Most recently that has meant using large language models (LLMs) and agentic AI to allow for autonomous robot decision-making at the Johns Hopkins Applied Physics Laboratory.
Other than coding, I watch animeNow watching: The Apothecary Diaries and play a lot of Nintendo Switch Sports (tennis, mostly).
Sep 2025 – May 2026
Research Intern & Programmer (ASPIRE)
Employed Large Language Models (LLMs) in an Agentic AI workflow to enable autonomous robot navigation and decision making based on the environment and a target.
Final posterJun 2025 – Aug 2025
Summer Research Intern & Programmer (ASPIRE)
Built a system where non-technical operators issue plain-English instructions to a ground robot via an LLM, with a simulation for pre-deployment planning of robot actions.
Final posterAug 2024 – Jun 2025
Research Intern & Programmer
Developed a Flask web interface linking browser interactions with backend AI models, and helped break large AI systems into modular components for better scalability.
Jun 2024 – Aug 2024
Summer Research Intern & Programmer (ASPIRE)
Implemented reinforcement learning algorithms to train AI agents in combat simulation software, adding 3v3 combat, TensorBoard metrics, and a new missile type.
Final posterRegeneron ISEF
Regeneron ISEF Finalist
Compared machine learning models for flagging fraudulent credit card transactions to find the best-performing approach. Won 1st place overall and 1st in Mathematics & Computer Science at the regional science fair, which qualified the project for Regeneron ISEF. Published in JRRSET (Dec 2024).
Independent research
Applied machine learning to chest CT scans to detect lung cancer earlier than conventional screening.
~2,000 users
Browser extension for quickly copying accented letters and symbols from several languages.
1st place regionals · 4th at states, FBLA
Website where students can find and apply for jobs in their area. Built with my team for FBLA's Website Coding & Development event.
1st place overall (online) · Hack the Colosseum
Hackathon project that predicts a car's value from brand, year, mileage, and history using a TensorFlow neural network.