Lars Knol is a software engineer based in Groningen with eight years of experience building practical, machine-learning-driven solutions. He helped develop the autonomous software stack for Team Hanze that won the RDW Self Driving Challenge 2024, optimizing YOLOv8-based perception to run on constrained Intel NUC hardware. More recently at 3D VSP he built a proof-of-concept to automatically determine Natural Head Position with ML, improving consistency over manual methods. Lars combines a formal software engineering education with a minor in computer vision and data science, and has a track record of turning research ideas into deployable prototypes for robotics and clinical workflows.
8 years of coding experience
1 year of employment as a software developer
Minor, Computer Vision & Data Science, Minor, Computer Vision & Data Science at NHL Stenden
Bachelor of Science - BS, Informatica (Software engineering), Bachelor of Science - BS, Informatica (Software engineering) at Hanze University Groningen
MBO 4, Manager Retail, MBO 4, Manager Retail at Terra
Contributions:4 PRs, 8 pushes, 3 branches in 1 year 10 months
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