Frank Van Lankvelt is a Staff Software Engineer with 13+ years of experience building scalable data and high-performance systems, now based in Utrecht. He combines a PhD-level background in theoretical physics and clustered computing with hands-on delivery of production ML and data pipelines across companies like StackState, Royal FloraHolland and Hippo. His work spans the full stack—from numerically tuned Python/Cython models and Kalman filters to Scala services, React UIs and Kubernetes deployments—while emphasizing test-driven, agile practices and operational scalability. Notably, he translated research-grade parallel MPI code into robust enterprise services and designed anomaly detection that learns quickly from short time-series while suppressing outliers and long-seasonality effects. Colleagues rely on him to bridge deep technical rigor with product and customer context, and he has a track record of coaching teams to turn data science into reliable software.
13 years of coding experience
19 years of employment as a software developer
M.Sc. Physics, M.Sc. Physics at Utrecht University
Ph.D. theoretical physics, Ph.D. theoretical physics at University of Amsterdam
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Frank Van Lankvelt - Staff Software Engineer at SUSE