
SalesRook
Lead generation and qualification platform for letting agents. Handles enquiries on autopilot.
EngineeringAIIntoProduction
I lead a small engineering team shipping AI agents, RAG pipelines, and automation into production — built on 10+ years of full-stack and mobile engineering.


Lead generation and qualification platform for letting agents. Handles enquiries on autopilot.

Insurance distribution platform for producer onboarding, licensing, and compensation across enterprise carriers.

Booking and business platform for barbers — native iOS and Android apps plus the backend architecture powering scheduling, payments, and client management.

Business platform for a driving school — public booking site plus internal and public mobile apps to manage lessons, scheduling, and day-to-day operations. Also designed the product and wrote the site's content.

Free, native multi-instance launcher for macOS (Windows soon) — clones any app into an isolated copy with its own account, data, and Dock identity. Built for the community.
10+ years in software — I started in mobile (native Android, then React Native), scaled into full-stack engineering, and spent nearly six years at Duck Creek Technologies building enterprise insurance platforms used by carriers across the US.
First real apps in native Android — real screens, real bugs, real users. Learned what it takes to put software in people's hands: offline states, performance on cheap devices, release discipline.
Built native iOS apps alongside Android. Learned that platforms differ but products don't — and started designing systems that outlive any single stack.
Shipping both platforms from a single codebase. Learned to think in components and shared logic — the first step from building apps toward building the systems behind them.
Six years on insurance platforms used by carriers across the US — first the web frontend in React, then deep into the backend with Node and TypeScript. Learned how enterprise SaaS is really built: multi-tenant scale, compliance, and software that businesses run on.
RAG pipelines, AI agents, and CRM automation running a live SaaS platform — leading a team of five. Everything underneath — mobile, full-stack, enterprise — became the foundation for AI systems that actually ship.
Model Context Protocol's 2026-07-28 spec ships a stateless core, drops Roots, Sampling, and Logging, and hardens auth to OAuth 2.0 — what to migrate first.
Fixed-size, semantic, and structure-aware chunking all look fine in a demo. Here's how each one actually fails once real documents hit your production pipeline.
Tell me what you're building. I read everything and reply within 48 hours.