Playable portfolio · AI-friendly loops · measurable outcomes

Build games. Wire agents. Ship experiments.

This is my Gaming AI Development workspace: a modern lab where small games become testbeds for agents, telemetry, and reliable engineering. Everything stays preserved, and the hub stays playable.

Play the Science Lab See the latest creation Docs / Resume

Latest drops

Auto-pulled from Projects/data/games.json so the homepage stays current.

Explore the lab

Start with the hub, then jump into individual builds. Everything is designed to be quick-to-play and easy-to-measure.

Science Lab (Hub)
Single launchpad for every game in this repo, with progress tracking.
Hub Progress Preserved
Enter Lab →
Frost Signal
Arcade MVP. Clear win/lose loop and auto-reporting results.
MVP Arcade
Play →
Thermal Drift
Action prototype. Survive, dodge enemies, iterate fast.
Action Prototype
Play →
ScienceLab (Legacy 3D)
The original ScienceLab 3D lab experience (v4), preserved for continuity.
3D Legacy
Open →
Docs
Resume + certificates in a clean organized view.
Docs
Open →
Legacy Games Lab
Classic experiments — kept accessible, no deletions.
Archive
Browse →

Quality layer model

The goal is to make every build playable, readable, and resilient — even when it’s “just a prototype.”

01 · Clarity

Readable hierarchy, inclusive UX, and “you don’t need instructions” energy.

02 · Craft

Responsive layouts, performance, and a clean architecture that survives refactors.

03 · Trust

Secure defaults, privacy awareness, and resilient engineering habits.

04 · Measurement

Clear events and outcomes so agents (and humans) can iterate with confidence.

Support

If you’re feeling generous, consider supporting a cause that matters.

Save the Children
Direct donation link (opens in a new tab).
Charity
Donate →