Pieter Schoeman

Electronic Design Engineer @ Cleantron cleantech batteries

About

I am a (full stack) Electronic Engineer. Currently I design battery management systems (BMS) for lithium ion batteries, I help develop C firmware for these BMS's, I integrate fully built batteries into a variety of drive lines for clients. Besides that I also do failure analysis for if things go wrong, write documentation and interface with suppliers. I have a sense for adventure as is evident from moving abroad. I can take risks but also know when that is not wise. I am constantly learning something new. One of my more recent projects was teaching myself Linux system administration, and now I have a Debian cluster running VM's managed through Ansible. I host services like Nextcloud, Chirpstack and Grafana for personal file storage and IOT projects. I also host Gitea so Microsoft can't train Copilot on my personal projects. I now also understand why most people don't do that. During University and for a couple years after that I installed solar backup systems for friends and family to help with the intermitterend power issues South Africa was facing at the time.

Country

Netherlands

City

Leiden

Industry

Electrical & Electronic Manufacturing

Skill

C, Python, Analog and Digital Circuit Design, Battery Management System Design, Low Voltage Electric Vehicle Drivetrains, Electronic Failure Analysis, Customer Service, Product Integration, LoRa & LoRaWAN, Electronics Design, Altium Designer, KiCAD, Serial, I2C, SPI & Ethernet, Microcontrollers, Microchip PIC & STM32, Object-Oriented Programming (OOP), C (Programming Language), C++, Python (Programming Language), PIC Assembly, Microsoft Office

Experience

Electronic Design Engineer

Cleantron cleantech batteries

2023-7 - Present · 3 yrs 3 mos

Nieuw-Vennep, North Holland, Netherlands

Junior Application Engineer (Electronic Engineer)

Azoteq

2022-1 - 2023-5 · 1 yr 5 mos

Paarl, Western Cape, South Africa

Education

University of Pretoria

Electrical and Electronics Engineering

2017 - 2020 · 3 yrs

I developed an integrated microprocessor based image processing system to determine when athletes cross the finish line during an athletics event. The project started with Python simulations where a strategy to solve the problem was developed. The first section of the implementation involved the design of C/C++ firmware for an embedded microprocessor to control cameras over a high speed serial interface, manage a custom memory implementation over I2C, decode JPEG images from first principals and perform object recognition on the result. A printed circuit board was then developed to connect all the hardware components and to simplify mounting. All the hardware was installed in a 3D printed housing. Lastly a QT user interface was designed to communicate with the camera module over a device specific Ethernet network. The interface allowed the results to be displayed as well as manage students.