I am a seasoned Embedded Systems Engineer and AI Researcher with a robust background in embedded Linux, IoT, and real-time signal processing. My expertise lies in designing high-performance firmware and developing innovative solutions for RTOS, sensor data processing, and deep learning applications.
Currently, I am pursuing a PhD in Signal Processing at the University of Gustave Eiffel, France, where my research focuses on advanced anomaly detection in positioning signals, including IMU, GNSS, and emerging 5G technologies. I work with cutting-edge tools and technologies such as Yocto, Zephyr OS, and STM32.
I actively contribute to open-source projects in Linux kernel development, AI-driven step detection, and secure IoT communication protocols. My experience also covers modernizing industrial equipment and legacy systems through innovative IoT solutions.
I welcome collaborative opportunities that push the boundaries of embedded systems and AI-driven innovation.
