Mohamed Amr

Mohamed Amr is a skilled Machine Learning Engineer with extensive experience in developing and deploying advanced models, particularly in material and damage detection using segmentation and object detection algorithms. Currently employed at Intermediate Data Systems, Mohamed previously held positions at DigsFact, where significant contributions included a proof of concept for real-world applications, and Omdena, where leadership as Chapter Lead and Product Owner involved managing diverse projects across various countries. With a robust foundation in computer vision, Mohamed has implemented sound classification models for medical applications and has a background in data collection protocols and ethical AI solutions. Education includes a Bachelor's degree in Computer and Systems Engineering from Ain Shams University and ongoing studies for a Master's degree in Data Science at the University of Leeds, complemented by various training programs in machine learning and artificial intelligence.