data engineering intern @ tesla
An n-of-1 wearable health analysis system. It turns long-term WHOOP, Ōura, and Garmin data into statistically valid personal studies, using changepoint detection, multiple-testing-corrected correlation analysis, and a RAG assistant grounded in peer-reviewed health literature, so people can find what actually moves their own physiology rather than the average person's. Won Conway's Best AI for Decision Support Award at Carnegie Mellon.
A data-driven college football ranking model, built as an alternative to journalist-voted polls. It flagged mismatches the AP missed because it ranks teams on performance rather than reputation.
A distributed LLM inference network that pools compute across machines to run large models.
A web app for high school football coaches to design and plan plays, with built-in defensive coverages, so programs with smaller budgets can do the kind of game planning that usually takes staff.
I grew up in Northern Virginia and spent six years in Tokyo, Japan where I attended ASIJ, and found my interests in motorsports, aviation, and photography.
I love playing soccer and was also the kicker for my high school's football team.
feel free to contact me at: kai [at] harlen.ai