Junior at Princeton majoring in Computer Science and minoring in Statistics and Machine Learning.
Summer 2025. Architected data pipeline to back-test 10 years of probability of default data from 40+ global banks on 110,000+ corporate entities. Published ↗ white paper on findings. Engineered supervised ML model to forecast North American corporate credit trends.
Summer 2024. Developed a customer outreach module integrating transcription, translation, speech synthesis, and response recommendations - boosting client productivity by over 50%. Built Salesforce applications for Lowe's, Formula 1, and LEGO.
$5,000 in grants. Shipped an agentic AI social media video automation platform, reducing users' average video creation time by 95%. Integrating into Sentient AGI's platform (2 million users).
8,000+ downloads, 2,000+ weekly active users. Chrome extension leveraging a computer vision model trained on 5 million images to predict precise geographic location of on-screen images.
Sub-four minute miler. Division I All-American. Ivy League champion. Commit 30+ hours weekly to training and competition.
Credit Benchmark, November 2025. Research analyzing how Credit Benchmark's Credit Consensus Ratings compare to S&P Global Ratings in identifying default risk. Results show CCRs demonstrate strong discriminatory power over the past decade, performing on par with S&P's ratings.
Planned, developed, and launched a full-stack web application using Sentient's inference model to help small businesses save time on advertising.
Awarded annually to the freshman member of the track team who through sportsmanship, influence, and performance has contributed most to the sport at Princeton.