CV
Education
MSc in AI & Engineering Systems, Eindhoven University of Technology (TU/e), 2023–2026
Focus: Physics-informed machine learning, Bayesian inference, data-driven engineering systemsBSc in Applied Physics, Fontys University of Applied Sciences, 2019–2023
Work Experience
- Working Student – Operations Research / Software Engineering
Canon Production Printing, Venlo
July 2025 – November 2025- Professionalised and refactored an existing Python-based Operations Research application
- Improved code quality, documentation, and maintainability of a production-critical system
- Increased development speed and long-term robustness
- Chairman & Co-founder
Mimir – AI & Engineering Systems Master Association, Eindhoven
March 2025 – November 2025- Co-founded the official study association for the MSc AI & Engineering Systems
- Grew the association from 0 to 110+ members within one year
- Responsible for chairing meetings, internal coordination, and overall management
- Focus on career development, industry connections, and community building
- Data Science Working Student
Canon Production Printing, Venlo
July 2023 – July 2024- Continued development of predictive maintenance solutions after graduation internship
- Worked on Power BI dashboarding, ISO 9001 QMS updates, and 5S implementation
- Active contributor to Continuous Improvement initiatives
- Data Scientist – Predictive Maintenance (Graduation Internship)
Canon Production Printing, Venlo
February 2023 – June 2023- Developed a predictive maintenance pilot using production data in Python
- Combined engineering domain knowledge with machine learning techniques
- Achieved accurate failure prediction, saving an estimated 150 hours of production loss per year
- Internship graded with a 9/10
- LabVIEW Software Developer (Internship)
VI Technologies, Weert
August 2021 – February 2022- Designed and developed software for a biometric bodysuit
- Implemented tracking of arm position and orientation
- Gained experience with LabVIEW, Python, object-oriented programming, and embedded systems
Skills
- Machine Learning & Data Science
- Predictive maintenance
- Physics-informed machine learning
- Bayesian inference & uncertainty quantification
- Python (scientific stack)
- Engineering & Physics
- Applied physics
- Physics-based modeling
- Engineering systems analysis
- Software & Tools
- Python
- Power BI
- LabVIEW
- MATLAB
- Julia
- Version control (Git)
Languages
- Dutch – Native or bilingual
- English – Full professional proficiency
- German – Limited working proficiency
Certifications
- C2 English Certificate (Grade A on C1 Advanced test)
- GreenComp
- Implementing a Lakehouse with Microsoft Fabric (DP-601T00)
Service and Leadership
- Chairman and co-founder of Mimir, the AI & Engineering Systems study association at TU/e