Amine Faker

Amine Faker is a skilled professional with experience in the fields of machine learning, testing, and engineering. Amine began as an Internship Trainee at CTE EL ATHIR SAMSUNG and TRANSTU, where foundational skills in PCB testing and subway accident prevention techniques were developed. Amine served as a Machine Learning Intern at ImViA, focusing on deep learning algorithms for myocardial segmentation, and completed a Machine Learning and Embedded Systems Internship at the National Engineering School of Monastir, creating a CNN model for traffic sign recognition. As a Test Automation Engineer at Capgemini Engineering, Amine implemented automation processes for manual test requirements, and currently works at intive as a Test Engineer, specializing in Intrusion Detection Systems and communication protocols. Amine holds a Diplôme d'ingénieur in electrical engineering from the National Engineering School of Monastir and prior education in mathematics and physics.