An engineer's interest
in how things work.

At Dunea, a drinking-water utility in the Netherlands, I build internal software and data tools. That includes shared Python tooling, digital-twin concepts for treatment and distribution, and practical AI adoption.

I like the part of the work where a question is still taking shape. What does someone need to decide? What do we know about the data? What would make a tool useful enough to keep using?

Alongside building, I coach colleagues, review code, and help a growing data team develop shared ways of working. Documentation and handoff matter because someone else will need to understand the decisions behind the code.

My background is in civil engineering and water management at Delft University of Technology. Fieldwork in Thailand and Indonesia made the physical and social realities of water infrastructure hard to overlook.

I went on to work in data science at Crunch Analytics, building analytical tools for clients in horticulture and retail. At Dunea, I brought software and data work back to the water domain.

That background shapes what I pay attention to. A model needs sound assumptions. Software needs to fit the way people work. And both need someone who can maintain them.