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Embedded Systems Engineer with a strong academic foundation and hands-on experience in electronics, signal processing, and real-time systems. I hold a Bachelor’s degree in Electronics and a Master’s degree in Electronics of Embedded Systems from Algeria, and I am currently pursuing a second Master’s in Embedded Systems at TU Chemnitz, Germany. My current research includes the implementation of human-machine interfaces and the integration of deep learning into embedded platforms.

I am deeply passionate about the full cycle of embedded product development—from concept and system design to prototyping and deployment. I enjoy tackling technical challenges, optimizing system performance, and turning complex ideas into practical solutions.

Curious by nature and committed to lifelong learning, I explore innovations at the intersection of hardware and software. My proactive mindset is reflected in both academic and practical work, where I bridge theoretical understanding with hands-on execution.

I believe impactful technologies are born from a blend of creativity, technical excellence, and open-minded thinking. Beyond engineering, I take an active interest in product design, user experience, and strategic discussions, where I contribute unconventional perspectives to drive innovation.

Skillset:

Proficient in C/C++, Python, Matlab, and Assembly language
Practical experience with ARM Cortex-M, STM32, Atmega, and PIC microcontrollers
In-depth knowledge of analog/digital electronics, signal processing, and embedded communication protocols (I2C, USART)
Familiar with ROS (Melodic/Noetic), STM32CubeIDE, and simulation tools such as Gazebo and Rviz
Research experience in embedded AI and human-machine interaction
Certified in key courses from #Deeplearning.ai, #Coursera, and #Udemy

Motto: Keep Learning, Keep Building.