Martin LAURENT

Martin LAURENT has a diverse work experience spanning from 2015 to 2021. In 2015, they worked as a Stagiaire d'éveloppement logiciel at InvenSense, Inc. In 2016, they worked as a Machine Learning Scientist at Niland. From 2017 to 2021, they worked at Spotify in various roles including Senior ML Infrastructure Engineer, Machine Learning Infrastructure Engineer, Data Engineer, and Machine Learning Engineer. As a Senior ML Infrastructure Engineer, they helped Machine Learning teams to use Kubeflow and Tensorflow EXtended (TFX) at Spotify. Martin also designed and developed the ML infrastructures that powered the recommendations of 3 different models on Spotify's home page. As a Machine Learning Engineer, they integrated a start-up size, end-to-end machine learning stack into Spotify's large scale environment.

Martin LAURENT obtained a Master in Engineering from Eseo in 2016, with a field of study in Signal, Image, Audio, and Telecommunications. Martin is also a Certified LabVIEW Associate Developer from National Instruments.