My drive is to build robust end-to-end ML systems that can help take efficiency to the next level. In my role as a software architect for over 9 years at Prodrive Technologies, I have gathered experience developing industrial automation applications in C#/.NET, such as a fully automated robotic production line. This includes building software that communicates with both hardware (PLCs, equipment APIs) and other software platforms (MES, PLM). My specialization is in computer/machine vision, where I am responsible for new applications in the industrial automation domain.

In the past 3 years, I have been focusing more on the infrastructure and core SW applications required for ML applications using Python. We are building an AI framework consisting of both open-source and in-house developed code that can structure and automate ML application development (the MLOps process). The main application is automated visual inspection, where we want to provide technicians on the factory floor with explainable deep learning tools to automate the inspection themselves, with minimal need of data scientists and ML or software engineers.

Finally, I am responsible for developing the ML competence both within the company, with workshops, trainings, and pilot applications with students, and outside it with knowledge sharing sessions at conferences, cross-company work groups, and educational institutions like Fontys and Eindhoven University of Technology.