With a strong foundation in embedded systems and a passion for innovation, I began my journey as a member of UniNa Corse Racing Team, contributing to projects involving PCB design, firmware development, and driverless system implementation. Achieving notable success in Formula SAE competitions fueled my enthusiasm. Transitioning to a biomedical focus during an internship at the University of Naples Federico II, I pioneered the development of an Edge-AI-based emotional state classifier using Infrared Thermography. This experience led to my graduation with honors. Subsequently, I engaged in a seasonal role at CeRICT, where I contributed to MATLAB-based modeling for a PEM fuel cell stack under the PNRR POR H2 agreement. Currently, as a Ph.D. student in electronic for health and healthcare, I am dedicated to advancing Edge-AI techniques for health applications, embodying a versatile professional with a profound commitment to interdisciplinary excellence.