Dynamic Software Engineer at Pixels On Target specializing in embedded systems and computer vision. Proficient in Python and C/C++; collaborated with cross-functional teams to develop a robust computer-vision pipeline, optimize Yocto infrastructure, and mentor peers to deliver innovative solutions.
- Created Python-based embedded computer vision pipeline utilizing classical OpenCV techniques for object detection.
- Enhanced contour analysis to perform effectively in low-light settings.
- Developed modular SPI command processing framework for inter-processor communication between STM32 and i.MX8M Plus SOM.
- Created debug tools to boost system reliability.
- Contributed to custom Yocto-based Linux builds: added device tree nodes, SPI configuration, and Python application recipes.
- Enhanced Docker-based Yocto infrastructure by integrating flexible build-time options for diverse system variants.
- Supported intern onboarding by facilitating understanding of embedded processes.
- Developed modular C++ driver for haptic motor using I2C protocol, facilitating programmable waveform slots.
- Assisted in device testing, hardware documentation updates, and early-stage validation for embedded components.
Embedded Systems
Object Oriented Programming
Python, C/C
Embedded Linux
Computer Vision