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Bridging Business Software and AI

The most valuable AI work isn't about the models. It's the systems on either side of them: the business data an agent can reach, and an engineering process that holds up when the agent writes the code.

With 18+ years in software engineering, I now lead the development team at Warmtebouw with an AI-first approach, both in what we build and how we build it. From MCP servers and ML pipelines to full-stack applications powered by AI-assisted development, I focus on what turns AI from a demo into a production system.

Career

Years Experience
18+
Industries
7

At Warmtebouw

Production MCP Servers
11
Active Business Users
97

As of August 2026

David Golverdingen
David GolverdingenAI Engineering & Technical Leadership

Organizations I've worked with

Allianz
Insurance
NS
Railways
KLM
Aviation
ASN Bank
Banking
Technolution
Government
Pro-Fa Automation
Industrial Automation
Warmtebouw
HVAC / Energy

Career

2025–present

Senior Engineer & MCP Architect

Warmtebouw

2025

Senior Frontend Developer

Pro-Fa Automation

2024–2025

Senior Full Stack Developer

NS (Nederlandse Spoorwegen)

2024

Senior Frontend Developer

Technolution (Rijkswaterstaat)

2023–2024

Senior Frontend Developer

ASN Bank (de Volksbank)

2022

Senior Frontend Developer

KLM Royal Dutch Airlines

2020–2022

Lead Frontend Developer

Allianz

Earlier roles in software engineering & industrial automation

Bolster Safety 2018–2020Softpak BV 2017–2018Magion 2013–2017

Building software since 2007
The Missing Layer — practitioner report cover
Featured Publication

The Missing Layer

Introducing Introspective Context Engineering for MCP: a method for building Rich Domain MCP Servers where the AI doesn't just query your data, it understands what it means. Based on multiple MCP servers running on real production business data.

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