At Skaaltec, I led neurorehabilitation product development across software, electronics, and system integration, owning critical subsystems and defining technical direction. The hardware platform progressed to certification and clinical trial preparation. Key contributions:

• System Design: Designed and developed two complementary, wirelessly-connected devices: an ultra-low power motion tracking system with embedded fusion algorithms, and a transcutaneous nerve stimulator with precise current-controlled pulse generation capabilities.
• Technical Direction: Established development roadmaps for system components, defined technical specifications based on medical requirements (IEC 60601), and coordinated integration between hardware, utility software, and cloud components.

In this inter-disciplinary research environment, I developed rigorous scientific methodology and literature-based approaches to rapidly master new technical domains. My research spanned multiple technical domains:

• TinyML and Sensor Fusion: Developed complete embedded systems powered by TinyML and novel sensors for research applications, including real-time audio applications (Voice Activity Detection), gesture recognition, eye-tracking, and motion classification.
• Low-power Embedded and Bluetooth-LE: Designed and implemented resource-constrained prototypes for battery-operated devices with strict dimensional and energy limitations, focusing on sensing capabilities, real-time signal processing chains, and efficient Bluetooth communication protocols.
• mmWave Radar: Pioneered applications of mm-Wave radar technology across multiple domains: biomedical applications (contactless vital sign monitoring), human-machine interfaces (gesture recognition), and advanced perception systems for autonomous robotics.

Concurrently supervised almost 20 student theses, defining research objectives aligned with laboratory goals, establishing project milestones, and providing technical mentorship to ensure successful outcomes. This supervision expanded my research impact while developing leadership skills in technical team management.

• Main Track: Embedded Systems, Low-power Design, Sensors and Sensor Fusion, TinyML
• Additional Topics: Machine Learning, Computer Vision, VLSI, System and Network Security

• Fundamentals: Analysis, Mathematical Methods, Physics, Informatics and Chemistry fundamentals.
• Field-Specific: Solid State Devices, Analog Circuits, Electromagnetic Fields, Digital System Design, OOP.
• Extracurricular: Member of the PoliTOcean student team, developing a water ROV for the international MATE ROV competition. Tasks included PCB design, debugging and assembly, and firmware development.