Suzen Fylke

Suzen Fylke is a Deep Learning Engineer at Embedl, an early-stage Swedish startup focused on efficient deep learning for embedded systems since January 2024. Prior to this, Fylke worked at Twitter from January 2020 to February 2023, serving as a Machine Learning Engineer in the ML Pipelines team where notable contributions included designing and maintaining ML pipeline infrastructure using technologies such as TensorFlow Extended and leading a GPU class migration that reduced costs significantly. Earlier roles at Twitter included Software Engineer positions focused on ML pipelines and ad quality, and internships that improved user experiences and feature implementations. Fylke holds a Bachelor's Degree in American Studies from Columbia University and a Bachelor's Degree in Computer Science from The City University of New York.