Amr Morsy

have over two years of professional experience as a Data Engineer and Machine Learning Engineer, focusing on deploying AI-driven solutions and optimizing data systems. My work includes automating data pipelines, developing and deploying machine learning models, and implementing monitoring systems to enhance performance and efficiency. I am proficient in Python, SQL, and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Additionally, I have experience with MLOps tools such as Docker and Kubernetes, ensuring scalable and efficient model deployment. Currently, I am pursuing a master’s degree in Informatics at the University of Passau, further deepening my expertise in AI and data science.

I have completed specialized training in Machine Learning and Deep Learning, including Nanodegree programs in Machine Learning with TensorFlow, Machine Learning with PyTorch, and AWS Machine Learning Engineering through Udacity. These programs focused on developing and deploying machine learning models, working with large datasets, and implementing advanced techniques such as deep learning, neural networks, and model optimization. Additionally, I have hands-on training in MLOps tools like Docker, Kubernetes, and AWS SageMaker, enabling scalable and efficient model deployment in production environments.