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I build platforms that let other people build—and ship AI before it is obvious. The through-line across 16 years in Fortune 1 retail, hyperscale cloud, healthcare, and financial services is not a domain. It is a pattern: find the under-leveraged opportunity, build the product or system to capture it, then make it the standard.
Today I lead software engineering portfolios at Walmart Health & Benefits Technology and build hands-on at Terrain AI Labs. I run organizations. I still write code. Leaders who stop building eventually stop knowing which questions to ask.
| 50-person organization Led engineering across contract management and customer analytics at AWS. |
80% less overhead Consolidated five-plus enterprise systems into one contract platform. |
6 months → under 4 weeks Cut benefit-program onboarding through a self-serve builder platform. |
| 30-person organization from zero Built MTM Health's engineering and data-science capability. |
9% → under 3% Reduced missed trips with a real-time dispatching platform. |
25+ leaders developed People I managed now run organizations of their own. |
| Product | What it does | Where it is now |
|---|---|---|
| Member360 Product story |
Explains what happened after a health claim is adjudicated, who needs to act, and what to do next—without guessing when evidence is missing. | LIVE PROTOTYPESynthetic examples; no member data requested. |
| Ask Niko Product story |
Brings Strava activity, Oura or WHOOP recovery, and weather into one evidence-backed daily training conversation. | CLOSED BETAPublic interactive demo with sample data. |
| Cadence AI Product story |
Reads across property, pricing, cleaning, and accounting workflows, then prepares the next action for human approval. | IN DAILY USEOne operating partner; approval before every external write. |
| Scope | What changed | |
|---|---|---|
| Walmart 2024–now |
Director, Software Engineering · Health & Benefits Technology | Built a self-serve platform for launching benefit programs and shaped a greenfield business line from first principles. |
| AWS 2021–2024 |
Engineering & Analytics · 50-person organization | Shipped GenAI contract automation in early 2022, unified fragmented enterprise systems, and improved deal velocity by 25%. |
| MTM Health 2015–2021 |
First data hire → engineering and analytics leader | Built a 30-person organization, real-time operations systems, and the company's first commercial SaaS product. |
| RBL Bank 2010–2013 |
Pricing & Operations | Created pricing, reporting, and risk frameworks that became institutional operating standards. |
- Find the opportunity nobody owns. The best work often starts in the whitespace between the org chart and the customer problem.
- Write the product narrative before the specification. If the user, pain, and changed behavior are unclear, the work is not ready.
- Build the smallest thing that proves the thesis. A prototype should answer a question, not impersonate a finished platform.
- Treat architecture as bets about what will not change. Keep everything else cheap to revise.
- Build paved roads, not toll booths. Standards should increase safe throughput, not centralize control.
Product & AI · Agentic systems · RAG · evals · human-in-the-loop workflows · enterprise SaaS
Engineering · Python · TypeScript · React · Node.js · PostgreSQL · event and data platforms
Infrastructure · AWS · Azure · GCP · Docker · Kubernetes · Terraform · GitHub Actions
Domains · Healthcare EDI · HIPAA · benefits · financial products · endurance training science
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