Systems Researcher with 4+ years of experience in low-power wireless communication for IoT (Bluetooth Low Energy and Mesh, IEEE 802.15.4).
I also design Machine Learning solutions for constrained platforms (Tensorflow Lite for Microcontrollers, CMSIS NN, Tiny ML). Proficient in C, Python, Tensorflow, and embedded operating systems (Zephyr RTOS, Contiki-NG).
Team-oriented, I led 10+ B.Sc/M.Sc theses and projects during my PhD.
Erasmus Mundus alumnus, I studied and worked in four countries.
Final year PhD Candidate, defense target is September 2022.
How can we enable Deep Machine Learning on devices with < 100 MHz CPU and < 200 kB RAM?
Adaptive channel management for Bluetooth Low Energy and Zephyr OS
Paper under submission