I am a Computer Vision Engineer with a Master’s degree in Computer Vision and Robotics from Université de Bourgogne, France. I have a strong passion for developing cutting-edge solutions for UAVs, UGVs, and Embedded Systems, using my expertise in Python, C++, OpenCV, TensorFlow, ROS, Arduino, and Raspberry Pi.

As an intern at ImViA, I researched and developed non-linear robust control methods for drones and mobile robots, showcasing precise tracking and disturbance resilience. I integrated computer vision for real-time autonomy and coordinated multi-drone flight, using Tello, AR Drone, and TurtleBot3. I also have experience in designing and coding embedded systems for smart home and escape room applications, using Z-wave protocol, Node-RED, and bash scripts.

I am always eager to learn new technologies and frameworks, and to collaborate with fellow tech enthusiasts. I have completed several online courses and certifications on Machine Learning, Technology Entrepreneurship, and Soldering. I have also published a paper on PID tuning using artificial neural networks in an IEEE conference.