Firas Guediri

Firas Guediri is an accomplished electrical and computer engineering professional with a Master of Science degree from the Technical University of Munich, complemented by a Bachelor of Applied Science from the same institution. Firas gained experience through several roles, including a Bachelor Thesis focused on anomaly detection methods for object recognition models using GANs and Autoencoders, as well as an internship evaluating task-based out-of-distribution detection methods. Firas further expanded expertise at Infineon Technologies as a Working Student, involving embedded machine learning techniques, and as part of the Master's Thesis on neural architecture and compression search for embedded applications. Currently, Firas is employed as an Embedded Machine Learning Engineer at SpiNNcloud. Previous experience includes a student job in computer vision and deep learning and an internship at Clina Heiz- und Kühlelemente GmbH.