Varsity Swimmer
Computer Science Student
Carnegie Mellon University
I'm a rising junior studying computer science at Carnegie Mellon and a NCAA qualifier on the varsity swim team. Being a student athlete has made me more disciplined, improved my time management skills, and shaped me to be a better leader and teammate. My career interest is software engineering and in my free time I like to read, walk, and try new foods!




Professional Experience
Aug 2024 - May 2028
Carnegie Mellon University
B.S. in Computer Science
B.S. in Computer Science with a concentration in Machine Learning.
2024 - Present
CMU Varsity Swim Team
NCAA Division III Athlete
NCAA qualifier and school record holder (400 free relay) — 7th all-time at CMU in the 100 free, 4x Scholastic All-American.
Jan 2025 - Aug 2025
Carnegie Mellon Scotty Labs
Software Developer
Improved UX on the open-source cmueats.com and shipped a dining review system used by 1,000+ students.
Jun 2025 - Aug 2025
University of Alaska Anchorage AI Lab
Software Engineering Intern
Sole developer of a Whisper-powered accessibility app that converts live and uploaded audio to text for hearing-impaired users.
Aug 2025 - May 2026
Carnegie Mellon HCII
Machine Learning Research Assistant
Led software development for the AI Collaborative Learning research team — 18% faster LLM pipelines and a coauthored abstract accepted for full-paper submission.
May 2026 - Present
First Citizens Bank
Software Engineering Intern
Launched a self-service webhook onboarding console for enterprise bank clients, backed by a 9-endpoint REST API with OAuth-enforced data isolation.
Jun 2026 - Present
Databricks
Student Fellow
1 of 37 selected for the inaugural Student Fellows cohort — exploring enterprise and agentic AI at the 2026 Data + AI Summit.
Leadership & Involvement
Selected work
Humanitarian Aid Allocation Intelligence Platform
1st Place1st place at the Databricks x UN Hackathon — agents forecasting crises across 2M+ rows of UN data.


Healthcare Access Gap Mapper
Code for GoodAgentic data app mapping healthcare access gaps across 10,000+ Indian ICU facilities.


Neural Network for Digit Recognition
TensorFlow network trained on 60,000 MNIST digits — 98% real-world accuracy.

AI Nutrition Estimator
Calorie estimator reaching 85–95% accuracy on common foods, built at HackCMU 2025.

AI Workout Assistant
OpenAI-powered training routine generator used by 20+ CMU swim teammates.

Awards & accolades

Where I've been

Pittsburgh

Alaska, summer 2025
Shot between workdays during my internship in Anchorage — exploring the Last Frontier.
