Full-Stack Developer & AI Automation Engineer
Full-cycle developer specializing in integrating AI agents into business workflows and building automated systems. I combine classic backend/frontend development with hands-on experience integrating LLMs (Claude, local models) into production solutions — from REST APIs to native desktop applications.
Core areas:
AI Agent Systems & Automation
- Designing and deploying agentic AI systems for GTM/sales process automation (ICP scoring, lead qualification)
- Experience with Claude Agent SDK, MCP (Model Context Protocol), multi-LLM provider integration
- Building safety architecture for AI agents: sandboxing, blast-radius control, kill switches, traffic inspection — critical for clients wary of "unpredictable" AI in production
- Local LLM deployment: model quantization (GGUF, GPTQ, AWQ) for running without dependency on cloud APIs
Full-Stack Development
- Backend: Laravel 11, vanilla PHP (OOP, PSR-4, PDO, JWT auth), REST API design
- Frontend: Next.js, React
- Databases: MySQL, Supabase Storage
- Desktop applications: Tauri v2 (Rust + Next.js) — lightweight cross-platform alternatives to Electron
DevOps & Infrastructure
- CI/CD pipelines (GitHub Actions, tauri-action) for multi-platform builds (Linux/Windows/macOS)
- Docker/Docker Compose, deployment on Railway/Render/Hetzner+Coolify
- Linux administration (Arch/systemd), containerization, security
Rust
- Native AI integrations in Rust (Rig framework) as a more performant alternative to Python/Node.js SDKs
- gRPC (tonic), llama.cpp bindings
What this offers a client: not just "someone who can call the ChatGPT API," but a developer who understands the architecture of safe AI systems end-to-end — from model to production deployment with risk control built in.
