Raymon van Dinter

Raymon van Dinter is a Software Engineer and PhD candidate specializing in Digital Twin-based Predictive Maintenance Systems at Sioux Technologies, where extensive experience includes high-complexity software engineering and data science projects for clients like LUMICKS, Alliander, Grodan, and Vanderlande. In prior roles, significant contributions include developing intelligent stock tactics for Vanderlande, building predictive maintenance models for Alliander, and supporting test automation software at LUMICKS. Additional experiences encompass internships and research in software engineering and marketing, alongside educational qualifications, including a PhD in progress at Wageningen University & Research and a Master’s degree in Biosystems Engineering.