Machine Learning Engineer. I build AI agents that run in production.
20+ Years Intelligence & Data Operations · 11 AI Agents in Production · Autonomous Trading & Research Systems
I spent five years in the Marine Corps and sixteen at NGA doing geospatial intelligence, through three combat deployments. For most of that I was the person using the tools, not building them — until I got tired of doing by hand what a script could do and started automating my own job. That turned into thousands of analyst hours handed back to the people who needed them.
I build AI now, at a different scale but for the same reason. Production systems with real users and real failure modes: a multi-agent platform running 30+ pipelines a day, evaluation harnesses, and the unglamorous plumbing that keeps the whole thing honest. Having depended on tools that looked impressive and fell over when it counted shapes how I build ones that don't.
I hold my own work to that standard. My independent trading research pre-registers every hypothesis and throws out the ones that don't survive honest assumptions — I've killed far more ideas than I've kept, and that's the point. A system that tells you what you want to hear is worse than no system at all.
I'm at my best when the problem is ambiguous, the stakes are real, and the thing actually has to ship.
AI orchestration platform coordinating 11 specialized agents across lead intelligence, outreach automation, and real-time monitoring.
A multi-stage strategy-validation pipeline built to kill false edges before capital is ever risked. Research infrastructure spanning futures, forex, and options, all measured against a deliberately dumb baseline.
The one strategy that survived the Gauntlet, ported into a production NinjaTrader trading bot and currently in live forward testing on micro futures.
An end-to-end automated job search: scrape, score, tailor, track. Built for myself, and it is how this application reached you.
Real-time severe weather monitoring system that detects hail events and triggers automated property lead collection across 11 states.
7-stage async enrichment pipeline that transforms raw business filings into scored, qualified leads with full contact profiles.
Production-grade retrieval system for multi-version enterprise documentation using semantic search.
I'm open to full-time ML engineering roles, contract work, and interesting problems.