Rik Voorhaar is a computer vision engineer with 11 years of experience combining machine learning research and full-stack development to build production-ready AR and human-pose systems. Currently at Grazper he invents practical solutions—from a patented multi-camera calibration method to a holographic AR system with head tracking—while maintaining CI/CD and deployment infrastructure for pose recognition products. His PhD-trained background in numerical linear algebra and tensor networks informs a rigorous approach to prototyping and benchmarking, and he has authored multiple papers with accompanying code. Comfortable working independently or in small teams, Rik bridges applied research and product engineering, often translating cutting-edge literature into deployable proofs-of-concept.
11 years of coding experience
High School, International Baccalaureate, High School, International Baccalaureate at International School Hilversum
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Geneva
Master’s Degree, Mathematics, cum laude, Master’s Degree, Mathematics, cum laude at Utrecht University
Bachelor’s Degree, Kyoto University International Exchange Program, Bachelor’s Degree, Kyoto University International Exchange Program at Kyoto University
An array programming language with rust transpilation
Contributions:51 PRs, 214 pushes, 55 branches in 11 months
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Rik Voorhaar - Computer Vision Engineer at Grazper