Joshua Yeung.

An automated Outgoing Quality Control suite — built on the team's in-house test framework — that turned a months-long manual gate into a deterministic, operator-runnable ~1-hour cycle per unit.

Evolved from cashback into a fashion decision engine — a deterministic per-product “should I buy this?” verdict, a brand-intelligence layer, and a price-history layer fed by a daily cron behind a pluggable provider interface. A native SwiftUI companion app on TestFlight reads the same Supabase backend.

Config-driven computer-vision pipeline that turns badminton match video into player pose, footwork, and shuttle tracking — 10 swappable stages, 175 tests, a custom PyTorch CNN tracking the shuttlecock frame by frame, and recovered motion exported to BVH for standard 3D tools. Elite-level racket-head speeds (38–49 m/s) fall out of the joint kinematics, and players are re-identified across clips with a mean-centered ResNet embedding plus average-linkage clustering.

Cross-college .edu social app, now a native SwiftUI iOS client on TestFlight beside the Next.js web app — one Supabase backend, 64 migrations, RLS on every table. APNs pushes drain an append-only notification queue claimed atomically with FOR UPDATE SKIP LOCKED.