AI product executive, founder, and hands-on builder.
I build agentic products and operating systems for healthcare, marketplaces, and complex workflows. I care about the full product: the customer problem, the system architecture, the operating model, and the evidence that it works.
| Project | What it demonstrates |
|---|---|
| Lens — intelligent photo timeline | Privacy-first SwiftUI product design, explainable observations, deterministic safety gates, and tested decision logic. |
| Teso Job Copilot | Executive workflow product thinking, React/TypeScript engineering, prioritization, and synthetic-data architecture. |
| Healthcare AI product case study | Agentic workflow design, explainable matching, deterministic submission gates, and human-controlled automation. |
| Portfolio analytics dashboard | Full-stack product engineering, financial data modeling, and decision-focused visualization. |
| Approval-first message agent | Agentic context retrieval, fail-closed quality controls, human approval, and permission-separated execution. |
| Trading execution lab | Reliable execution infrastructure, testable interfaces, and risk-aware system design. |
- AI product leadership: product strategy, agentic workflow design, evaluation, and adoption.
- 0-to-1 building: from customer problem and prototype through architecture and operating model.
- Executive scale: led 80 people across product, engineering, and design; targeted more than $70M/year in projected efficiency and resource-reallocation opportunities.
- Founder experience: scaled a company from concept to 100 employees and $3M ARR, raised $10M, and led it through acquisition.
- Hands-on execution: I stay close to architecture, code, user experience, and the metrics that connect a product to business outcomes.
- Start with the workflow and the decision that needs to improve.
- Use AI for interpretation and adaptation; use deterministic controls for policy and safety.
- Keep people in control of consequential actions.
- Make quality observable with explicit measures, evaluations, and feedback loops.
- Ship the smallest complete product that can prove or disprove the thesis.
I'm building Cassandra, an agentic healthcare staffing platform designed to help turn fragmented clinician, job, and requirement data into explainable, submission-ready workflows.
I'm especially interested in executive and founder-adjacent opportunities where AI can reshape a real operating system—not just add a chat box to an existing product.
Let's talk: Connect on LinkedIn