I've created multiple PHP projects with strong community adoption, and now exploring Go + Local AI to push the boundaries of what desktop apps can do.
| Layer | Technologies |
|---|---|
| Primary | PHP 8.x, Symfony, MySQL/PostgreSQL, Redis |
| Secondary | Go 1.25+, Wails v2, Vue 3, TypeScript, SQLite |
| AI/ML | Stable Diffusion (Forge/A1111), Local LLMs (Ollama, llama.cpp), Vision Models |
| DevOps | Docker, GitHub Actions, CI/CD, Linux server administration |
A privacy-first desktop client for local Stable Diffusion + LLM workflows. No cloud. No subscriptions. Full control.
- β¨ LLM Prompt Engineering: Describe ideas in plain text β get ready-to-use SD prompts
- π¨ Multi-Scene & Smart Inpaint: Vision-guided object removal & compositional generation
- π 100% Local: All processing happens on-device. Zero data leaves your machine
- π Architected for clarity: See design decisions & trade-offs
Open to feedback, bug reports, and architectural discussions.
- π Balancing PHP expertise with Go/AI experimentation
- π Documenting engineering decisions over raw code output
- πΌ Open to Senior PHP / Fullstack roles (with interest in Go/AI projects)
- π Prefer remote-friendly, product-focused teams
- Architecture > Syntax: I document why, not just how.
- AI as a multiplier: I use LLMs for boilerplate & research, but keep design, error handling, and UX in human hands.
- Build for humans: Lower the barrier to entry without sacrificing power users' control.
- Ship, measure, iterate: Prefer working software over perfect abstractions.


