ML Engineer | Production AI Systems for Industrial Automation
ML engineer building production AI and automation systems for industrial workflows. Experience deploying document parsing, retrieval, LLM-assisted analysis, real-time file monitoring, and human-in-the-loop automation across Windows, Linux, and cloud environments. Strong in Python/FastAPI, TypeScript, PostgreSQL, pgvector, testing, and operational software that runs under real-world constraints.
- Project Ava · Personal AI development studio with durable session continuity, agent orchestration, and a template framework deployed across ten downstream projects. Tailscale-only.
- CloudBooks · 25-table multi-tenant Supabase SaaS with RLS, Stripe feature-gated billing, BYOK AI insights, and QuickBooks Online OAuth2 sync. Live on Cloudflare Pages.
- McQueenyML · Production HVAC estimating platform running daily on McQueeny Group's Windows servers. 5 manufacturer parsers, 195 scope templates, 419 tracked projects, Ollama lifecycle analyzer, real-time R:\ drive watcher.
Python · TypeScript · C# · C/C++ · SQL · React · Node.js · Express · FastAPI · .NET / COM Interop · PyTorch · YOLO · Docker · n8n · SQLite · PostgreSQL · Supabase · ChromaDB · Git / GitHub · Tailscale · Vite · SOLIDWORKS · Computer Vision · Automation · CAD / Mechanical Engineering