Currently working on part quality prediction and fault detection for fused filament fabrication, using machine learning. Instead of creating rules using expert knowledge, the hope is that machine learning methods may learn from data to provide accurate predictions on part quality and faults during fabrication.

Freelance consultant for various projects, such as building tailored generative AI applications or R&D of mechatronic systems.

Maintenance/refurbishment of outdoor wooden floors. Caretaker services and gardening.

Two years study programme including a 60ECTS thesis. The thesis researched use of reinforcement learning for the combinatorial problem of stacking pallets (3D strip packing problem).

Data analysis and machine learning engineering for prediction of soil chemical variables, using soil sample data from ESDAC's LUCAS 2018 survey. The survey includes approx. 18 000 soil samples from countries in the European Union.

Three years study programme with a wide range of courses related to machine learning and robotics.