Every product is a sequence of decisions members make in seconds. I design the seconds.
Behavioral psychology plus AI systems, at 40M+ member scale.
Three decisions, designed.
Personalization at 40M+ scale
I own the surfaces where ML ranking output becomes member-facing product, and the behavioral signals that flow back into the models.
Fewer doors, faster walking: the +20% lived in what we removed. New members picked one intent instead of browsing everything. Hick's Law, applied at the first screen.
Ten interventions, one dealt forward per member per moment. The 20% is in the choosing. Keeping the reward unpredictable is what held the lift: a variable reward schedule.
GenAI Promotion Engine
Strategy first: when to reinforce a member versus win one back. Then the full spec, event schema, prompt contracts, and API input/output, across 10 intervention templates.
Built and directed the growth team behind a multi-channel engagement system: $20M annual revenue, 15% churn reduction.
Built with AI, end to end
AI-native email on autopilot for Shopify stores. Designed the five-agent system behind Email Brain™: an editable model of each store that every send draws from, so the first email already sounds like the brand and nobody sits through an onboarding interrogation.
Consumer meal-planning app on a two-model Claude architecture with Supabase: model routing weighed against cost, latency, and output quality at each step. Full stack, solo: schema, routing, prompts, and the shipped interface.
chefbuddy.appExplicit contracts between agents, so each handoff is a decision, not a hope: a defined input, output, and rule before anything runs. That is what makes a five-agent pipeline debuggable.
Email Analyst to Senior Product Manager.
Four promotions in under 7 years at DISQO, then the move to Prodege.
Each step traded a bigger surface for a bigger question. The throughline: hired at one level, performed at the next.
Each promotion came from owning the next problem before it was assigned.
How the seconds get designed.
Production A/B with guardrail metrics on every experiment. Event schemas and API contracts I write myself, then work through with engineering.
Hook Model, endowed progress, variable rewards. Behavioral craft that makes surfaces feel human, not mechanical.
What I'm building toward: model-driven consumer surfaces. Recommendation, personalization, and agentic experiences built to respect how people actually decide.
Open door.
Always glad to talk about what people are building, whether that's a role, a partnership, or just what you're working on right now.