I didn’t take the clean path into AI. That’s exactly why the AI I build gets used, not shelved.

I started stocking shelves at Albert Heijn in 2011. Went through street marketing, event operations, and logistics before I landed in real estate. First as an intern, writing a thesis on maintenance processes at Rijksvastgoedbedrijf, then as a project manager at CBRE.

From there I moved into the data side. Smart building tech at Smartvatten. MJOP automation and digital twins at Bryder. Property data cleanup at Ons Doel. And since 2022, senior transformation consulting for an international real estate group.

That path is unusual, and it didn't happen by accident. It means I understand operations at the bottom, where the actual work happens, and strategy at the top, where decisions get signed off. Most people building AI for real estate have neither side. Having both is basically why I'm confident building across ten different tracks instead of picking one.

These days I split my time between that day job and building through Digital Revolution Consultancy. The tracks are the AI copilots real estate hasn't built yet: predictive maintenance, portfolio data, building operations, ESG, tenant experience, document intelligence, digital twins, and more. The day job keeps me honest about what real estate operations actually need. Building the tracks is where I get to act on it.