Amr Khaled

I am a Machine Learning Engineer with a strong foundation in Computer Science, Statistics, and Mathematics, focused on building and deploying scalable AI solutions.

During a Microsoft Machine Learning Engineer internship with the Digital Egypt Pioneers Initiative, I implemented MLOps practices using Azure AI and MLflow, gaining hands-on experience in experimentation, versioning, and production deployment workflows.

I led backend development and system architecture for an AI-powered meal recommendation graduation project, delivering secure user management, RESTful APIs, real-time feeds, and cloud media integration; I also developed multimodal AI assistant modules and a text-to-image pipeline using Stable Diffusion.

I have built and deployed practical models such as a plant seedling CNN classifier and an EfficientNet-based weather recognizer, and I work regularly with frameworks and tools including TensorFlow, PyTorch, OpenCV, Docker, and PostgreSQL to deliver reliable, maintainable systems.