Mohamed Gamal is a machine learning engineer from Cairo, Egypt with a B.Sc. in Electrical Engineering. His areas of expertise include deep learning frameworks like TensorFlow and Keras, as well as Python libraries such as NumPy, SciPy, Scikit-learn, and Pandas. Some of his projects include dog breed recognition using CNNs and customer segmentation using unsupervised learning techniques. He is currently pursuing an Intel Edge AI Scholarship and has taken online courses from Udacity, Coursera, edX, and DataCamp to expand his machine learning skills.