I am 17 years old. I am interested in computer vision. My recent work involves using computer vision to analyze squash matches at paramsquash.com.
ParamSquash: An autonomous squash analytics platform using computer vision to analyze squash matches.
Used by 5 D1 and 3 D3 college squash teams, from Princeton to UPenn to Vassar. Also used at non-profits such as SquashSmarts.
Main feature is that it is priced at $1/video no matter the length, compared to other platforms such as RallyVision, which offer comparable services at $99/video. paramsquash.comAI Fragrance Recommender: A fragrance recommendation system that uses natural language processing and embeddings to match users with fragrances based on scent profiles and preferences. GitHub
Squash
Top 100 in the US BU19 rankings.
Princeton Day School 2024 Boys Varsity Award.
Research & Experience
Research Intern, Northeastern University (under Dr. Lorenzo Torresani), June 2026–Present. Scraped coaching forums for 1k+ videos paired with expert critiques, and built an unsupervised dataset from them to create a benchmark testing
Machine Learning Intern, Yogi, an NLP platform that analyzes consumer product reviews, under Gautam Kanumuru. Two summers during high school, 40 hrs/week, 12 weeks/year, paid. Implemented topic clustering for customer reviews and built trend-analysis features, now in production.
Backend Developer (freelance), VamosPRO, a computer vision platform that analyzes padel match footage for stats on shots, positioning, and strategy.
"Automated Fault Attribution for Formula 1 Collisions: Evidence for the Limits of Telemetry-Based Classification", a research paper investigating machine learning approaches for automatically determining fault in F1 racing incidents from telemetry data, and the limits of purely data-driven classification for that task.
Volunteering & Activities
Special Olympics: Camp counselor, and helped check in athletes at the New Jersey Special Olympics.
Boy Scouts: First Class Scout, Patrol Leader, Troop 40.
Contact
Email: odiouschipmunk@gmail.com
GitHub: github.com/odiouschipmunk