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AI Systems Engineer

Building agentic platforms, multi-modal sensing, and the infrastructure that makes real AI useful.

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Featured Project

Luna Hub: Personal Automation Platform

• Three apps (Hub, ChefByte, CoachByte) shipped as a single React SPA with full dark mode
• ~58-tool Cloudflare Worker + Durable Objects MCP at mcp.lunahub.dev — five namespaces spanning CHEFBYTE_* / COACHBYTE_* / OBSIDIAN_* / TODOIST_* / HOMEASSISTANT_*, OAuth 2.1 + API key auth
• OpenAI-compatible /v1/chat/completions endpoint with token-by-token SSE — powers Home Assistant voice preview against any model
• Supabase Realtime drives cross-device state for timers, plans, and macros; nightly Morning Review agent ties an Obsidian goal stack to Todoist execution
• ~1,600 tests across pgTAP, web, and worker suites; per-tool observability wrapper on every MCP call

One MCP endpoint, three apps, and every tool your day needs — wired into Obsidian, Todoist, and your home.

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Biography

Get to Know Me

I'm an AI systems engineer based in Charlotte, NC. I currently lead AI engineering at RevUp Renewable Solutions, and I'm finishing an M.S. in AI at Western Governors University. My work spans agentic infrastructure, multi-modal sensing, and the tooling that makes production AI reliable.

My interest in AI started in high school with GANs and AlphaZero, and my long-term goal is to contribute to alignment research — the work that determines whether advanced AI ends up a force multiplier for humanity or a failure mode. Active SECRET clearance.