AI Infrastructure / Agentic Systems Engineer
I build production AI agents — orchestration, retrieval, tools, and the infrastructure that runs them.
Production agentic systems on the LLM stack — Claude / GPT / Gemini, multi-agent orchestration, RAG and vector memory, tool and function calling, and self-hosted inference. I ship real systems, run my own infrastructure, and work across the whole stack: engineer, operator, and architect.
- agentwall — Runtime firewall and operator console for AI agents: policy, approvals, egress controls, audit, and DLP.
- reese-pi — A reproducible agent workstation, including a production Telegram agent (local-Whisper voice, document RAG, scheduled autonomy, approval gates).
- proof-pack — Local-first tool that turns shipped work into client-ready evidence.
Agentic systems · multi-agent orchestration · RAG / vector DBs · MCP tools · TypeScript · Python · Linux + self-hosted GPU inference · APIs & services
Building toward AI Infrastructure / Agentic Systems engineering. Certifications in progress: AWS Cloud Practitioner → Cisco CCNA → AWS Solutions Architect Associate.