React Native · AI golf analytics

Pocket Caddie AI

2024 — 2025

An AI-powered golf analytics app: players record their swings, upload the videos for analysis by backend AI models, and track their progress over time. I built the mobile experience end to end as a contractor at Applica.

E2E: Complete mobile app built solo and handed to the client as a working prototype
Pipeline: Swing-capture video pipeline built from scratch — camera, frame-accurate trimming and resumable uploads to the AI backend
9+: Production screens — capture, trim, swing review, drills, coaching and more

Pocket Caddie is an AI-powered golf analytics app. Players record their golf swings on their phone, upload the clips for analysis by backend AI models, and get performance feedback they can track over time. I built the mobile experience from the ground up as a contractor at Applica.

I built the full video pipeline around Vision Camera — swing capture, frame-accurate trimming with a custom range slider, thumbnail generation and resumable uploads to Firebase Storage — feeding the clips to Cloud Functions and the AI analysis backend. On top of it I built the swing-review, comparison and progress-tracking screens with animated charts and circular score gauges.

Beyond feature work I owned architecture decisions, release management and both the App Store and Play Store submissions, and mentored a junior developer through code reviews and pair programming. The result was a complete, working prototype delivered to the client end to end — from swing capture and trimming through to video upload for AI analysis.