Lorenzo Palloni

– Developing PPG-based algorithms for real-time Heart Rate and Respiratory Phase detection. – Maintaining firmware and hardware across the company: custom PCB design, bring-up, device configuration exposed through custom BLE services, and testing.

– Developed and maintained firmware for a wearable EEG on a custom PCB based on the nRF52840 SoC (ARM Cortex-M4 + BLE), using Embedded C and Zephyr RTOS, with BLE streaming of ADC, IMU, PPG, and battery sensors. – Designed mixed-signal hardware in KiCad, integrating the ADS1299 (24-bit ADC for EEG) and the nPM1300 (PMIC); leveraged the nPM1300 ship mode to achieve a ∼27-year battery shelf life on a 95 mAh LiPo with on-demand power-off. – Debugged signal-integrity (using oscilloscopes, logic analysers, Bluetooth sniffers), and power consumption (using Nordic Power Profiling Kit 2 - PPK2).

– Contributed to a Computer Vision research project on real-time Instance Segmentation: literature review, state-of-the-art selection, and model training within the company's ML infrastructure using Python (PyTorch).