johannes.dixon0
About Candidate
Mechatronics Engineering graduate skilled in designing mechanical, electrical, and software solutions. Experienced in C programming for embedded systems, the ESP32 microcontroller, and Raspberry Pi with Python. Developed electrical system design skills through a voluntary course, working on an audio system project over seven lab sessions. Is currently available for 4 hours a day due to a mild form of autism. The 4-hour workday enhances productivity, and the autism diagnosis gives high attention to detail and precision. Arbetsförmedlingen may pay part of his salary. Currently learning C++ with over 100 completed exercises. Holds dual Swedish and Austrian citizenship and enjoys biking, building PCs, and reading novels.
Location
Education
Acquired a broad education on the integration of mechanical and electrical systems. Utilized Embedded Programming in C and MATLAB to design control systems and embedded computers for mechanical systems such as drones, robot arms, and robotic lawn mowers. Designed electrical circuits and studied energy systems with a focus on thermodynamics.
Work & Experience
Successfully integrated a distance sensor into one of Europe’s largest 3D printers, which utilizes an ABB Robotic Arm and can print an entire kayak in one piece. The sensor accurately modelled the print bed to optimize the printing process, significantly improving the adhesion of the first printed layer and reducing the number of attempts required for high-quality printing. The project was approved by Chalmers University and RISE. Utilized ROBOTSTUDIO and connected the sensor over Siemens PROFINET Ethernet in the lab. Although initially exploring Siemens TIA Portal V7, a different solution was implemented. Additionally, connected a sensor to a Raspberry Pi, programmed in Python to send email alerts to lab technicians when plastic pellets run out during printing, preventing printing failures.
