I’ve always tried to figure out how things work — then make them work better.

An AI Engineer, consultant and entrepreneur in Amsterdam. My work started with building websites. The questions grew, the technology changed. The curiosity stayed.

I’ve built websites, managed IT, coordinated projects, improved processes and started businesses. That means I look at a problem from several angles. I want to understand what an organisation is trying to achieve, how people work and what technology makes possible. And I want to do something with it myself.

It started with websites.

As a teenager, I built websites. I wanted to know what happened behind the screen and how to make it myself. At FON Events, that grew into a broader responsibility: as ICT Manager, I worked on infrastructure, cloud services, the intranet, VoIP and hardware. A system had to work technically, and people had to be able to use it.

You learn entrepreneurship by doing it.

In 2016, I started what became MB Digital Ventures. From design and print, the offering grew into websites, hosting, digital services and NFC products. I’m also a co-founder of Triadis Ventures, where we research technology and build products such as Triadis Play.

Running a business means seeing the consequences of your choices: in a client’s question, a sales conversation, support and everyday operations. I bring that into solution design. How do you explain it? Who benefits? What does it take to keep it running?

People, organisations and technology.

I studied Information Science at Utrecht University, graduating cum laude, followed by Business Informatics. At Vrije Universiteit Amsterdam, I took the minor Understanding & Influencing Decisions. That combination fits the questions that interest me: how do people make decisions, how do you organise a process, and what role can technology play?

My research covers AI personalisation, cybersecurity, automation and user experience. The publications are collected on this site, with links to their original sources.

A solution has to work in practice.

At Utrecht University, I coordinated IT projects, including migrations and the retirement of telephone services. At GGD Gelderland-Midden, I worked in the COVID organisation, handling daily operations, coordination and training new colleagues. You learn to account for dependencies, exceptions and the people who have to do the work.

Since 2026, I’ve worked as an AI Engineer in KPMG Netherlands’ Central Data & Reporting Office. Before that, I worked on Power Platform, AI solutions and go-to-market in Microsoft Consulting & Innovation. That experience connects technology and business: from an idea to a working application, a proposition and a conversation with stakeholders.

The question behind the question.

My first question is usually about where things get stuck, what it costs and what needs to change for the user. Sometimes that calls for AI or a new app. Sometimes it needs an integration, fewer process steps or a different way of working.

I can get into the technology and have the conversation about the purpose. That combination lets me test assumptions, design a solution and build it myself. Broad enough to see the whole problem. Technical enough to get to work on it.

What you can expect from me.

I build it myself.
I take advice and designs into the technical work and make the solution.
I look at the business.
A technically elegant system also needs to be useful to the organisation and the user.
I ask questions.
Especially when the answer isn’t obvious. That’s where it gets interesting.
I choose what works.
The best solution doesn’t have to be the newest or the most complicated.
I’m direct.
I test assumptions, including my own. And if I don’t know something, I say so.
More about my interests

My research and publications offer a look at the subjects I explore: AI personalisation, cybersecurity, automation and user experience. Curiosity runs through my work and businesses.

Publications

Have a messy problem? Let’s figure it out.

Tell me where you’re stuck. You don’t need to know the solution yet. We start with what’s happening and what needs to improve.

What happens next.

  1. You describe the problem. You don’t need to know the solution.
  2. I ask questions. Sometimes uncomfortable, always useful.
  3. We test the smallest solution that could make a difference.
  4. We build, put it to use and improve based on what we learn.