Arent Stienstra is a data engineer with eight years of experience turning large, messy datasets into actionable map products and business insights. With a Master's in Artificial Intelligence (cum laude) from the University of Amsterdam, he has built deep learning models for automated mapping at TomTom and now applies data engineering practices to procurement at IncoNed. He combines Spark-based pipelines and computer vision expertise to extract coherent views of the world from billions of points, and his background in econometrics gives him a rare quantitative rigor for product-focused ML work. Based in Amsterdam and studying AI further on GitHub, he blends analytical precision with creative problem solving to translate complex relations into measurable value.
8 years of coding experience
5 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at University of Amsterdam
Minor Minor Programmeren, Minor Minor Programmeren at Uva
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