Best role fit
- Founding / early-stage engineer — build the whole product
- Full-stack / product engineer across AI, healthcare, commerce
- Solutions / forward-deployed engineer — customer-facing technical depth
Open to interviews nowBen MorrosNew York
Builds the productsthat businessesrun on.
Came to engineering from years in operations and business. Now leading the build of EyeBrowse — AR commerce, in-store kiosks, and an operator admin built to run a multi-store chain — and translating between exec priorities and the engineering.
Flagship system
EyeBrowse
Browser-native AR over a native SDK, so independent retailers ship without app-store friction or vendor lock-in. Storefront, offline-first kiosk, and a multi-location operator admin share one Postgres + Realtime backbone.
Platform scale
135k+
retail SKUs integrated
610+
brands in catalog
26
admin pages
3
production surfaces
Storefront
BuiltCompetitor AR requires an app download — the #1 conversion killer in retail.
Browser-native AR try-on. No app, no vendor lock-in, works on any phone.
Kiosk
BuiltRetail WiFi fails 3-4 times per shift. Transactions can't depend on connectivity.
Encrypted offline checkout with background sync when WiFi returns.
Admin
BuiltFranchise owners need one view across every location. Store managers see only theirs.
26-page editorial admin with role-based access, ⌘K palette, real-time inventory.
Dashboard demo
The admin is the proof surface.
Switch roles, move between operating pages, and ask the admin architecture questions in the AI tab. This is not a static screenshot wall.
Operator Admin · live demo · synthetic dataOperator Admin · live demo — tabs, roles & Ask AI all work · synthetic data
eyebrowse-admin · v4.12.1
Editorial weekly briefing for the super admin. Hero MRR, 12-week trajectory annotated with launches, three operational signals, practice constellation, leaderboard. The page is a recurring artifact — the same shape ships every Monday.
Role
Built for desktop: 26 operating pages, role-based access, and a ⌘K command palette. Open it full-screen to explore the real thing.
Open full-screen adminliveExecutive · Super Admin⌘K to search inside the admin
Ask the admin anything in the Ask AI tab — real Claude Sonnet, streams in real time.
Fast hiring signal
Scope ready to own next.
Strongest where product ambiguity, technical architecture, and business execution overlap. Evidence below — case studies, live demos, and a public resume.
Immediate ownership
- Convert messy business requirements into a production roadmap
- Design the architecture and ship the first durable version
- Translate risk, cost, and tradeoffs for non-technical leadership
Proof to inspect
- EyeBrowse — case study, screenshots, and a live operator admin demo
- CareFlow — running real clinical operations for a medical practice today
- Everything is inspectable end to end: architecture, tradeoffs, runbooks
How I leadOperations first.
Operations first.
Engineering second. Both, in service of the business.
Years in operations and business — sourcing, executive support, and chief-of-staff work — before writing production code. The combination is the differentiator: someone who understands the business a product serves, then writes the migration that ships it.
The track record
Now
Head of Engineering · CTrue Vision
Leads engineering on EyeBrowse — AI-powered virtual try-on, AI prescription analysis, in-store kiosks, two integrated payment systems, and an operator admin built to run a multi-location chain. Owns the technical roadmap, launch sequencing, and the executive narrative for the platform.
Before
Operations & business · Haddad Brands, Medrite, Q4 Designs
Sourcing, production, and buying for the Nike Kids line at Haddad Brands; executive support to the EVP at Medrite Urgent Care; chief-of-staff work at Q4 Designs. The business-side grounding behind the engineering.
Foundation
MBA · Johns Hopkins Carey Business School
Finance, strategy, and the analytical framework for translating engineering tradeoffs into business decisions. Comfortable in a boardroom. Comfortable in a code review.
Operating principles
Lead with business constraints
The best architecture is the one the business can sustain. Margin, headcount, and timeline are first-class inputs — not friction to engineer around.
Translate in both directions
Executives need cost and risk; engineers need latency and coupling. Same system, two languages — written and spoken in either fluently.
Set priorities, not preferences
A technical goal is a measurable bet on a business outcome. Roadmaps tied to revenue, retention, and risk ship; roadmaps that read as preference lists do not.
Ship the durable v1
A focused first version that survives real load is worth more than a perfect third version that hasn't been tested. Iterate on what real users hit, not what slides predicted.
Case studies
Two production systems. Two different problems solved end to end.
One is built and ready to launch a retail chain. The other already runs a working medical practice. Both designed and shipped end to end — architecture, data model, and day-to-day operations.
Same system.
Two lenses.
Every technical decision has a business dimension. Toggle between lenses to see how the same EyeBrowse architecture reads from an engineering perspective versus an executive one.
EyeBrowse architecture
Business lens: what changes for customers, managers, and revenue.
Executive view
Customers see frames on their face instantly — no app download, no special hardware, works on any phone. The same AR technology Warby Parker uses, but accessible to independent retailers.
Executive view
When a frame sells in one store, every screen in every location updates in under a second. No stale inventory, no overselling, no embarrassing "sorry, that's actually sold out" moments.
Executive view
Store managers see only their location's data. Franchise owners see everything. Nobody sees what they shouldn't. Every change is tracked and auditable.
Live demos · running on this pageMove your cursor.
Move your cursor.
See real-time sync the way a store chain would.
The same Supabase Realtime infrastructure EyeBrowse uses to keep inventory and pricing in sync across store locations is running on this page. Every visitor sees every other cursor live — open a second tab to test the broadcast across sessions.
One pipeline. Six components. Every kiosk and storefront in sync.
eyebrowse-architecture.svg
Client
Browser Storefront
Browser-native webcam capture — no app or extension
Runs natively in the browser — zero app downloads, zero friction. Customers try on eyewear from any product page without leaving the retailer's site.
Processing
MediaPipe
468 facial landmarks detected in <16ms
Google's ML framework maps 468 facial landmarks per frame at 60fps. This precision is what makes virtual try-on feel real — glasses sit on your face, not float near it.
Processing
Edge Functions
Serverless compute for AI orchestration
Runs auth, validation, and AI orchestration close to users so the browser stays fast without a dedicated app server.
Intelligence
AI Layer
Claude API + Gemini for product recommendations
Routes recommendation requests across providers with fallback so style guidance keeps working even when one model is slow.
Data
Supabase Realtime
WebSocket pub/sub for live updates
Built to sync inventory in real time across every store location. A product marked 'sold' in-store disappears from the try-on experience within 200ms.
Data
Admin Dashboard
Real-time inventory and analytics
Store managers see live try-on analytics — which frames are trending, conversion rates, and inventory levels updating in real time without page refreshes.
Client
Browser Storefront
Browser-native webcam capture — no app or extension
Runs natively in the browser — zero app downloads, zero friction. Customers try on eyewear from any product page without leaving the retailer's site.
Processing
MediaPipe
468 facial landmarks detected in <16ms
Google's ML framework maps 468 facial landmarks per frame at 60fps. This precision is what makes virtual try-on feel real — glasses sit on your face, not float near it.
Processing
Edge Functions
Serverless compute for AI orchestration
Runs auth, validation, and AI orchestration close to users so the browser stays fast without a dedicated app server.
Intelligence
AI Layer
Claude API + Gemini for product recommendations
Routes recommendation requests across providers with fallback so style guidance keeps working even when one model is slow.
Data
Supabase Realtime
WebSocket pub/sub for live updates
Built to sync inventory in real time across every store location. A product marked 'sold' in-store disappears from the try-on experience within 200ms.
Data
Admin Dashboard
Real-time inventory and analytics
Store managers see live try-on analytics — which frames are trending, conversion rates, and inventory levels updating in real time without page refreshes.
Browser Storefront → MediaPipeMediaPipe → Edge FunctionsEdge Functions → AI LayerEdge Functions → Supabase RealtimeSupabase Realtime → Admin DashboardSupabase Realtime → Browser Storefront
Client
Browser Storefront
Browser-native webcam capture — no app or extension
Runs natively in the browser — zero app downloads, zero friction. Customers try on eyewear from any product page without leaving the retailer's site.
Processing
MediaPipe
468 facial landmarks detected in <16ms
Google's ML framework maps 468 facial landmarks per frame at 60fps. This precision is what makes virtual try-on feel real — glasses sit on your face, not float near it.
Processing
Edge Functions
Serverless compute for AI orchestration
Runs auth, validation, and AI orchestration close to users so the browser stays fast without a dedicated app server.
Intelligence
AI Layer
Claude API + Gemini for product recommendations
Routes recommendation requests across providers with fallback so style guidance keeps working even when one model is slow.
Data
Supabase Realtime
WebSocket pub/sub for live updates
Built to sync inventory in real time across every store location. A product marked 'sold' in-store disappears from the try-on experience within 200ms.
Data
Admin Dashboard
Real-time inventory and analytics
Store managers see live try-on analytics — which frames are trending, conversion rates, and inventory levels updating in real time without page refreshes.
Business value is shown inline for each componentEyeBrowse — Production Architecture
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