Bart Aelterman is a Machine Learning Engineer II at Spotify with 13 years of experience building data-driven products, pipelines, and visualizations across startups, media, e-commerce, and research. He blends applied ML, data engineering and front-end visualization skills—having co-founded a data-visualization studio and contributed front-end fixes to open-source charting libraries—to turn complex datasets into reliable production features. His background ranges from PhD-level bioinformatics to streaming recommender systems and data-lake microservices, showing a rare fluency across research, infrastructure and user-facing analytics. Based in Antwerp, he brings practical cloud and testing experience (AWS, BDD) and a track record of shipping robust visual and ML solutions that emphasize correct representation of edge cases.
13 years of coding experience
10 years of employment as a software developer
Master, Biotechnology, Master, Biotechnology at Ghent University
Cal-Heatmap is a javascript charting library to create a time-series calendar heatmap
Role in this project:
Front-end Developer
Contributions:8 commits, 6 comments in 11 months
Contributions summary:Bart primarily focused on modifying the `cal-heatmap.min.js` file to address issues related to empty values and color rendering within the calendar heatmap. Their work included updates to the legend colors and how the heatmap handles null and zero values, ensuring correct visual representation. The user also contributed to the testing framework by creating and modifying HTML files to test the behavior of legend colors. These changes enhanced the visualization capabilities and corrected display inconsistencies.
Web app to manage payments for Born In Africa (BIA)
Contributions:66 pushes, 2 branches in 4 years 4 months
payments
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Bart Aelterman - Machine Learning Engineer II at Spotify