MSc. Artificial Intelligence
In 2022 I finished my Artificial Intelligence MSc. at University of Groningen focussing on machine learning and deep learning. During my studies I managed to gain experience in the public transport world as a project team member for a large real-time transit information system. I leveraged this knowledge during my condition monitoring/predictive maintenance Master's thesis at Qbuzz in which I made operational predictions using neural networks for a fleet of electric buses.
Next to my public transport knowledge I have also worked with Geographic Information Systems. Not only from a research perspective, but also as a personal interest. I regularly combine geographical data with other data in different projects ranging from interactive visualisations to complex deep learning projects such as my Bachelor's thesis.
In my spare time you could often find me outside with my camera or GPS hunting for the perfect picture or a geocache. Next to this I like to tinker with my homelab server as a way to discover new tech and learn more about containerisation and running your own services.
Master's thesisMaster Individual work
Predictive maintenance / condition monitoring project using data from vehicles, chargers and operation. Two types of neural networks aimed at operational predictions for a fleet of buses.
Parking/bus fare comparisonPersonal Individual
Analysis of the time one could park in an underground parking garage in Groningen for the cost of a P+R bus ticket.LinkedIn post
Bachelor's thesisBachelor Individual work
Classification project on hyperspectral data with two convolutional neural networks. Goal was to detect asbestos roofs based on aerial hyperspectral imagery.Download
Signal priority simulationBachelor Group work
Multi-agent systems project comparing two wireless protocols in a traffic light priority context.
Intersection simulationMaster Group work
Multi-agent systems project investigating the effects of transit signal priority on green light optimal speed advisories for a simulated intersection.
Quiz as a ServiceMaster Group work
Interactive Quiz as a Service platform built with microservices and containers.
Real-time transit information displaysWork Group work
Planning and inspection of 60+ new real-time transit information displays on different mobility hubs.
Programming, presenting, analysis, collaboration, understanding complex domains, proactive, strategic, passioned, connecting data and reality, thinking critically, advising
PyTorch, Pandas, Numpy, Scikit-Learn, Matplotlib, Leaflet
Git(Hub), Docker, Kubernetes, QGIS, PostGIS