I turn match footage into tactical evidence using visual intelligence.

I build sports video intelligence end to end — portable auto-capture, custom-trained player & ball trackers, event detection, and player-ready clips.

End-to-end

Capture → tracking → events → reports, built solo

3 pitch types

Models tuned on grass, hard-ground 7-a-side, futsal — harsh real-world footage

100+ sites

Vision models I trained running in production (smart parking, HK · JP · AU · US)

01 — PitchSight

Football · Computer Vision

PitchSight

Turn football match videos into tactical evidence for training

Custom-trained player/ball trackers, team classification, ball action spotting, shot detection
Dataset collection, annotation, and evaluation
Portable camera for auto-capture → custom-built hardware setup + broadcast-ready video with auto ball following

Proof

Match footage → clips & reports Tactical map Custom event detection Real-world pitches

Camera auto-film and follow

Tactical map with position tracking

PitchSight — custom event tracking including ball and players

Custom event tracking inc. ball, players

02 — Smart Parking

Computer Vision · Deployed at Scale

Smart Parking

Fully automated operating system for smart parking across HK, Japan, Australia, US. 100+ sites.

Led end-to-end development: model training, camera hardware.
Operation: ops dashboard, site deployment, optimisation.

Scope

Custom vision model 100+ Sites HK · Japan · AU · US Camera Hardware Edge Deployment

Car recognition program

Web portal & custom dashboard

Custom space camera deployment - Japan

03 — AirDrum

Computer Vision · Real-time

AirDrum

Custom-trained vision model + Python audio engine. Built for drum learners who want to practice at home.

Detects drumstick position and motion from a webcam feed. Triggers drum samples in real time.
Built end-to-end: dataset collection, model training, detection logic, audio output.

Technical

Custom Model Object Tracking Python

Demo clip

Custom model training

Testing

04 — Personal Agentic System

AI Agents · Automation

Personal Agentic System

A personal mission control infrastructure that orchestrates AI agents across research, coding and planning.

Cursor, OpenClaw, Telegram — coordinated into daily autonomous workflows.
Daily autonomous tasks: topic tracking, competitor monitoring, client follow-up etc.

Technical

Agent Orchestration Cursor / OpenClaw Telegram n8n

Mission control dashboard for agent management

Bookmark tool as LLM wiki

Automated job posting monitoring

Why I fit this role

What I bring to your team.

Full pipeline

Raw match video → player/ball detection & tracking → event spotting → auto-edited clips and match reports. Not a demo repo — a working system I run on real matches weekly.

I train models, not just call APIs

Own dataset collection, annotation, fine-tuning, evaluation, and real-world deployment — with honest accuracy numbers and stated conditions.

I know the game and the buyer

Amateur-league player, self-taught tactical analysis. I understand what a coach acts on, so I build for the "so what", not just the overlay.

How I work

Football

Player since age 5, tactical analysis, video breakdown, amateur league weekly

Computer vision

Custom training, detection, tracking, edge deployment, production tuning

Delivery

End-to-end — dataset, model, deployment, dashboard, optimisation

About

Operator turned product builder. I train custom vision models and ship them into real environments — match footage, parking sites, and edge hardware.

Football player since age 5. Still in the amateur league weekly. I build for the "so what", not just the overlay.

Where I am: Hong Kong. Remote, timezone-flexible.

Background

Founder, Vectory Labs — Custom visual intelligence for the physical world.
Product & Solutions Lead, UrbanChain (HK) — Smart parking across HK, Japan, AU, US.
Manager, Klook (HK) — Global Travel platform, 10+ markets.
Head of Driver Operations, Lalamove (HK) — Ride-hailing, 10,000+ driver community.
Senior Consultant, EY (HK) — Risk Advisory.

Get in touch