garage/officina mindset.
I take messy ideas → structure → working systems.
- AI / Python / ML fundamentals
- Systems thinking (loops, feedback, constraints)
- Home-lab + local tools
- Math when it becomes useful
- GL.system — a personal framework to turn ideas into execution
- AI-communication binder — clear, structured ways to work with AI
- Notes, experiments, templates: everything gets documented
- Build strong foundations (Python → ML → projects)
- Ship small, real outputs weekly
If you’re here for the projects: check the pinned repos 👇