Nat Jeffries is a founding engineer at Useful Sensors, where he designs privacy-preserving embedded ML sensors. He graduated from Carnegie Mellon University in 2016 with a degree in ECE. He joined Google where he worked on embedded systems before joining Pete Warden to spin up Tensorflow Lite for Microcontrollers. He has previously spoken at Tensorflow World in Sao Paulo Brazil, and guest lectured on TinyML at Harvard.