I build systems that build systems.
I'm an AI-augmented engineer. I design multi-agent systems, distributed infrastructure, and software products, then use AI to build and operate them.
My daily workflow runs through a team of specialized AI agents I designed from the ground up. They handle architecture, implementation, DevOps, strategy, content, research, and coordination. I make the decisions, define the architecture, write the test specs, and debug when things break. The agents help me ship at a pace that used to require a full team.
Before this, I spent 8 years in operations and quality assurance, including QA leadership at Coinbase across NFT Marketplace, Institutional Custody, and Prime Brokerage. That foundation taught me how systems fail, which turns out to be the most useful thing you can know when building systems that work.
Built from empty repo to live in 5 days. A crypto market intelligence mini-app for World App (30M+ users). AI-generated market briefs, verified-human conviction polling, curated news feed, educational learn system, and gamification through voting badges and accuracy tracking. World Chat integration for viral sharing. 500+ users, 100K+ impressions. Internationalized across 6 languages with on-chain USDC payments.
A 15-container microservice trading platform in paper trading validation. Three algorithmic strategies on fast loops. Three LLM-powered sentinels tune parameters on slower cycles. A capital allocator scores fitness and redistributes toward whatever is working. 1,200+ tests under strict TDD.
Available for fractional AI engineering engagements, architecture reviews, and consulting.