Project Lead, Systems Architect
2013 - 2021Prolucid Technologies- Led a team to develop a handheld blood diagnostic device using vision processing on FPGA and microfluidic pumping.
- Developed an automated assembly line vision system to detect defects in automotive parts using machine learning.
- Led a team to develop medical device software that helps patients with spinal cord injuries and stroke victims to regain the use of their muscles.
Technologies: Embedded C, Embedded C++, Embedded Linux, ARM Embedded, LabVIEW, Machine Learning, Python, TensorFlow
Mark Bremer
Embedded C and C++ Developer in Cambridge, ON, Canada
Member since August 31, 2021
Mark has 8+ years of experience developing embedded software in C and C++ and industrial automation software using LabVIEW and Python. He has helped companies develop a wide range of products, including medical devices, IoT sensors, and energy monitoring systems. Most of his embedded experience has been with ARM processors, either Cortex-M (using an RTOS-like FreeRTOS) or Cortex-A (using embedded Linux).
Mark is now available for hire
Portfolio
- Prolucid TechnologiesEmbedded C, Embedded C++, Embedded Linux, ARM Embedded, LabVIEW...
Experience
- C 10 years
- Linux 10 years
- Software Engineering 8 years
- ARM 8 years
- Embedded C 8 years
- LabVIEW 8 years
- Certified LabVIEW Architect 5 years
- Python 3 years
Availability
Part-time
Preferred Environment
Windows 10, Linux, ARM, C, C++, Python, LabVIEW
The most amazing...
...product I've helped create is a medical device used to help stroke or spinal cord injury patients regain the use of their muscles.
Employment
Experience
- Blood Testing Medical Device
A medical device that analyzed a blood sample to detect specific markers in the blood. I co-developed the handheld device and the firmware that was developed for an ARM Cortex-A processor that included an FPGA.
The firmware controlled the flow of blood through the device. Focused optics allowed a camera to view the blood sample and controlled a laser that enabled targets in the blood to appear in the camera images. We also developed several user interface peripherals (display, keyboard, and buttons).
I designed and developed the image processing algorithms needed to track and count the marked cells in the video of the blood sample, which was partially implemented on FPGA to allow us to process at the required frame rate. I also developed a custom user interface library to support the small form factor black and white display used.
Overall, this project was a great combination of learning new tools and frameworks, advanced algorithm design, and low-level embedded device interfacing. Most-of-all, I was able to work on a device that could have a real positive effect on the world.
Skills
Languages
C, Embedded C, Python, Embedded C++, C++Tools
LabVIEWOther
Software Engineering, Certified LabVIEW Architect, ARM, Engineering, Machine Learning, Device DriversPlatforms
LinuxLibraries/APIs
TensorFlow
Education
- Master's Degree in Software Engineering2011 - 2014McMaster University - Hamilton, Ontario, CA
- Bachelor's Degree in Mechatronics Engineering2006 - 2011McMaster University - Hamilton, Ontario, CA
Certifications
- Professional EngineerJULY 2020 - PRESENTProfessional Engineers of Ontario
- Certified LabVIEW ArchitectFEBRUARY 2020 - FEBRUARY 2024National Instruments (NI)
