NASA alum. Booth MBA. Now applying it to markets.
12+ years scaling SaaS infrastructure and applied ML in production. Currently Director of Product & Engineering at Zuora, where he runs the platform & commerce stack on AWS — including an infrastructure restructure that cut $4.5M from annual R&D spend, and a payment-retry ML system that lifted capture by 20%.
Founded Pine to apply the same operator playbook — systems engineering, applied ML, AWS-native infrastructure — to a domain where iteration speed is the entire game: trading.
The thesis is simple. Markets reward iteration, but humans can only iterate so fast. Every trader is one person; every strategy degrades; every shop has a 50-person research team that scales linearly with headcount.
Frontier AI just changed the math. Models can now plan, write, evaluate, and revise trading logic — the entire hypothesis loop, end-to-end. The bottleneck moves from "how many strategies can a human tune" to "how fast can the system learn."
Pine is the operating system that closes that loop. The operator stays in orchestration. The agents handle the iteration.
Live capital deployed on the top variant. AI orchestration in production. Daily backtest → redeploy cadence.
Strategy synthesis from observed wallets. Multi-target portfolio with risk caps. Cross-venue P&L attribution.
First partner funds onboarded. Performance-fee revenue line opens. Series A prep.