Lead with clarity
Bigger type, more breathing room, one clear action above the fold, and a lede that actually says what I've shipped, not what kind of engineer I "am."
Senior engineer. Founder. Systems builder.
I build the interfaces, APIs, automations, and data systems behind products that cannot afford to break.
Twenty years of shipping real systems: React at Disney scale, HIPAA-compliant APIs at Hoag Hospital, McKinsey client dashboards, CHOPT's checkout architecture, and two companies I run on the side. I still write the code myself. If you need someone who can pick up any stack, own the hard problems, and stay accountable through production. Let's find out if I'm the right fit.
20+
years building web and software systems
Lead Sr.
full-stack ownership, not just a contributor
Any stack
React, TypeScript, Node, Python, PHP, SQL, cloud, and more
Production
security, compliance, data, real uptime responsibility
Any stack means
React, TypeScript, JavaScript, Node.js, Express, Python, PHP, WordPress, SQL, PostgreSQL, MySQL, MariaDB, MongoDB, AWS Lambda, S3, DynamoDB, API Gateway, Azure Functions, Snowflake, D3.js, Plotly Dash, Mapbox, Tableau, DataDog, SonarQube, Jest, Cypress, Mocha, Jenkins, GitHub Actions, Docker, Terraform, Epic, Cloverleaf, Stripe, Braintree, Twilio, Sentry, Storybook, Angular, Aurelia, LAMP, LEMP, Linux, Shell, Git, and more
How this page works
I built this page the same way I build products.
Each section earns its place: lead with signal, follow with proof, surface the real work, then make the ask simple. Scroll is the navigation, not a wall to fight through.
Show the receipts
I organized each section so you can scan fast and go deep when something catches. Role history, live previews, an interactive skill graph. Everything has its own room.
Make scroll feel intentional
The side dots, progress bar, and nav all track where you are. I built this as a single HTML file with no framework and no build step, because I wanted the craft to be visible.
Close with a straight ask
By the time you reach contact, you've seen what I've built, how I think, and what I can own. If it looks like a fit, I'd love to hear about the role.
The short version
Twenty years. Real systems. Real ownership.
Twenty years leaves a paper trail: enterprise data platforms at Disney, HIPAA-compliant healthcare at Hoag, McKinsey client delivery, production checkout flows, military medical systems, and two businesses I run myself. The resume is the visible layer. The real history goes deeper.
Live work previews
Open the work without leaving the page.
Live windows into public-facing work I've shipped. Some companies block iframes by policy, so every card has a direct link that always works. Enterprise systems, private repos, and healthcare integrations sit behind access controls; I can walk you through those when the conversation is real.
The public surfaces are just what I can show without an NDA. Private enterprise systems, healthcare integrations, payment flows, dashboards, automations, and more are all available to walk through when the conversation warrants it.
AI Engineering
AI Forward
I use AI the way a senior engineer uses a good tool: to reason faster, pressure-test architecture, generate scaffolds, surface edge cases, and move from vague business problem to production implementation without outsourcing judgment.
The real edge isn't typing prompts faster. It's knowing enough systems engineering to evaluate the output, wire it natively into products, and keep security, data quality, UX, cost, and maintainability intact. I use AI daily for architecture, solutioning, implementation, workflow automation, data validation, anomaly detection, reporting, and debugging.
Architecture acceleration
Compare implementation paths, expose hidden coupling, generate option trees, and cut the time from messy requirement to workable technical plan.
Native product integration
Ship AI where it actually belongs: validation, internal tools, workflow automation, support surfaces, reporting dashboards, and decision engines.
Fast-ramp learning loop
Pick up unfamiliar tools quickly by pairing senior fundamentals with AI-assisted exploration, docs review, test scaffolding, and production verification.
Human-in-the-loop quality
Stay in charge: review generated code, test the edges, protect data, respect compliance, document the system, and ship maintainable software.
Interactive skill map
Move your mouse near the graph. It pushes back.
Hover a node to see where that language, framework, or platform shows up in my actual work. This isn't a tag cloud. It's a proof map. And the obvious subtext: whatever stack you're running, I can pick it up.
Selected capability
Full stack systems
Move across the map or hover a node. The graph reacts to your cursor and explains where that capability shows up across enterprise, healthcare, agency, product, and military work.
Delivery history
The receipts speak for themselves.
Each card maps to a real delivery from my resume. Scan the source labels (Disney, Hoag, McKinsey, Military, Founder) and you'll see the range quickly. This is still only what's publicly visible.
Let's talk
Ready when you are.
Send the role, the stack, and the real challenge. I'll tell you straight whether I can help. If it looks like a fit, I'm happy to share repo access, architecture notes, and specifics that don't belong on a public resume.