Embedded Files
FARO [1/3]
For this project, I ...
quit my job and joined Reinout Wiers at the University of Amsterdam as a PhD candidate,
pitched to ZonMw, which got the idea funded,
collected two years of all customer data from 13 licensees (hasn’t been done before),
trained a machine learning model that gives back a risk score.
On 18 Aug 2026, the resulting open-source tool was published by the Dutch Gambling Authority. It was featured on NOS, Trouw, BNR, multiple international media and discussed in Dutch parliament.
SPINE [2/3]
I was asked to build the architecture of a Demand-Side Platform (DSP) in 2023 by Frans Vermeulen, who I thank for then recommending me for promotion into a manager role. I only wanted to do it if I was given the guarantee to do 50% coding on the side, which I had to request from the CTO at the time, which was Jurrie van Rooijen.
I started with two of my direct reports. After 1 year, 8 teams were working on this solution as its profit was over 100M EUR/year, of which 8M per year cost saving due to building in house solutions. It was a very cool problem, as it combined search solutions (NLP), recommender systems and auctioning logic. And it needed to be very fast.
After two years of management experience, I decided I was missing the coding too much, and I transferred into the role of Data Science Craft Lead for Shopping and Advertising, the largest domain of bol.
OSCAR [3/3]
During a two-day hackathon, I created a natural language microservice (‘Oscar’) which evaluates comments of returned products, generating 400.000 EUR/year.
I like this project because it was super fun to create, and it signifies the power of being able to completely deploy a service on your own. Things don't always need to be complicated if you have the right tools and surroundings.
Not the most life-changing tool, but a fun example of how a hands-on innovation can be made with relative ease.
Page updated
Google Sites
Report abuse