Opportunity discovery
Explore where AI can improve real work, then test the opportunity with focused prototypes.
HEAD OF AI DEVELOPMENT AT CALIBRATE
Backend developer by background. I help teams discover opportunities, build prototypes, shape architecture, establish development practices, and carry useful systems into production.
Strategic systems architecture for AI capability, production workflows, and reliable backend integration.
Explore where AI can improve real work, then test the opportunity with focused prototypes.
Design and build reliable AI systems with thoughtful architecture, integrations, and production delivery.
Help developers adopt practical tools and practices that make AI-supported delivery sustainable.
Projects and work patterns across reliable AI systems, backend architecture, process redesign, and structured data.
An anonymised Belgian bike-leasing company needed to accept varied dealer quotations without shifting manual re-entry onto customers or employees. The workflow now supports thousands of orders, with more than nine in ten accepted without further correction.
The challenge
Different PDFs, pricing rules, VAT, discounts, and line items had to become a usable draft order.
The lesson
AI is most useful when interpretation, checks, review, and system ownership stay connected.

An anonymised work pattern about operational platforms where requests, approvals, support work, transactions, exports, and reporting all depend on the same underlying flow.
An anonymised work pattern about systems that depend on APIs, webhooks, queues, authentication, external services, and clear support paths.
How I work / Principle 01
Probabilistic systems are powerful for interpretation and generation. Business-critical decisions should still rely on structured data, deterministic tools, controlled workflows, and human judgement.
The work above shows what I build. This is the principle I bring into it.
Next: About me
Background
I spent years building backend platforms, integrations, structured content systems and business logic before moving into AI leadership. Today, I lead the technical side of AI development: exploring opportunities, building prototypes, shaping architecture, evaluating tools, establishing development practices and helping teams carry implementations into production. That background lets me move between the creative possibilities of AI and the engineering work needed to make them real.
Technical leadership and delivery
Technical leadership, architecture, prototyping, developer enablement, tooling evaluation, development practices, integrations, and delivery.
AI strategy and technical execution
Broader work across AI strategy, opportunity development, presentations, adoption, and technical execution.
Backend platforms and technical leadership
Backend platforms, integrations, structured content, business logic, and technical leadership.
Practical notes on reliable AI systems, structured content, controlled agents, and developer enablement.

Rebuilding leanderjcc.com with Strapi, Astro, static deploys and far too much attention to OpenAI usage resets.
Read article
Why AI makes structured content and data-first CMS architecture more valuable, not less.
Read articleREADY FOR DEPLOYMENT
I work with engineering leaders to move AI from experimentation to production.