At ACTRONICS, I completed my graduation project focused on optimizing the soldering quality of the ABS-ECU remanufacturing line.
The goal of the project was to identify the root causes behind inconsistent solder quality and to develop reliable methods for improving both process control and long-term product reliability.

My work started with a detailed analysis of the existing soldering process, where I used statistical data and practical observations to locate the most critical process variables.
After identifying potential failure modes, I designed a series of validation tests to verify hypotheses and quantify their impact on solder quality.

Main tasks and achievements:

• Conducted process and failure analyses using microscopy and electrical testing.

• Designed and executed controlled test plans to validate proposed improvements.

• Collaborated with production engineers to translate findings into actionable changes.

• Delivered a detailed technical report with process optimization recommendations.

This project provided me with a deep understanding of electronics manufacturing and quality assurance.
It was graded 9/10, highlighting both the analytical depth and the practical value of my work.

During my graduation project at BRACE Automotive, I developed a fully functional proof of concept for an external Human-Machine Interface (eHMI) designed to improve communication between autonomous vehicles and vulnerable road users.

The aim of the project was to enhance traffic safety by enabling autonomous or semi-autonomous vehicles to communicate their intentions to pedestrians and cyclists. The project covered a full development cycle, from research and concept design to hardware prototyping, software integration, and user validation. 

Main tasks and achievements:

• Conducted extensive research into eHMI concepts and interaction design for road safety.

• Developed hardware using a Raspberry Pi, LED matrix displays, and ultrasonic and radar sensors.

• Created the Python-based software architecture, integrating multiple sensors and defining logic for situational feedback.

• Validated the concept through user testing and surveys, analyzing the effectiveness of the communication signals.

This project deepened my understanding of functional safety, human-machine interaction, and prototype development.
It also demonstrated my ability to work autonomously on multidisciplinary challenges, combining electronic hardware, software, and mechanical design.

The project was recognized for its innovation and technical quality, earning me a place as a finalist in the 2025 ACE Mobility Awards, where it was recognized as one of the top student projects in the Dutch automotive sector.