Machine Learning & Data Engineer, interested in making robust and scalable AI systems. Endlessly curious, with a drive to build.
In my spare time, I enjoy exploring creative projects and challenging myself in endurance sports.
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Building an MLOps system for the prediction of Dutch fuel prices. Includes cloud integration, containerization, model experimentation and registration, workflow orchestration, model and data monitoring, CI/CD and continuous training, and API development.
Developed a complete ML pipeline for speech-based personality classification using novel databases. Additionally, I helped create a database where participants had unguided conversations with a digital avatar, which generated its responses through GPT-3.
The European Refugee Crisis visualization project is an interactive website that offers a human-centric perspective on refugee migration through time. It features a map of Europe and Africa displaying refugee routes, a stacked bar chart representing the number of refugees and their countries of origin, and crosses symbolizing lives lost during the Mediterranean crossing, all created using D3.js for data-driven visualizations.
A Python library that can split multi-label data while maintaining group-independency amongst the splits and stratifying the data. Included are functions to split data into a training and test set, output a graph to visually show the stratification, and print a stratification report.
Connects personal finance app You Need A Budget with cost-sharing app Splitwise. Significantly reduces the timer and effort needed to keep track of shared expenses on both platforms.