Lorenzo Palloni

- Developing and maintaining firmware for a custom PCB with the nRF52840 SoC designed for Brain-Computer Interface (BCI) applications, utilizing C and the Zephyr RTOS. - Optimized BLE data streaming of various sensors (ADC, IMU, PPG, Fuel Gauge), taking care that each sensor operates at its designated frequency. - Ensured accurate EEG signal acquisition, leveraging a high-quality signal generator. - Demonstrated proficiency in debugging, using oscilloscopes, logic analysers, power profiling tools (such as t

- Contributed to a Computer Vision research project for real-time Instance Segmentation. - Followed a comprehensive work cycle that included conducting literature reviews, selecting state-of-the-art techniques, implementing the chosen approaches within the company’s Machine Learning infrastructure, and training and validating the models using mainly PyTorch.