Adel Awad Al-Kazzaz Machine Learning Engineer | AI & Computer Vision Specialist I am a results-driven Machine Learning Engineer with deep expertise in Computer Vision. My passion lies in engineering intelligent systems that can perceive and understand the visual world, and I have a proven track record of designing, building, and deploying these systems from concept to production. My core philosophy is to bridge the gap between theoretical research and practical, high-impact applications. I thrive on translating cutting-edge algorithms into robust, maintainable, and efficient production systems that solve real-world challenges. Key areas of expertise include: Deep Learning & Computer Vision: Architecting and optimizing deep neural networks (CNNs, Transformers) for tasks like image classification, object detection, segmentation, and facial recognition. MLOps & System Orchestration: Building automated CI/CD pipelines for model training, validation, and deployment using tools like Docker, Kubernetes, and Kubeflow. Scalable AI Systems: Designing and implementing distributed training and inference systems on cloud platforms (AWS, GCP, Azure) to handle large-scale datasets and real-time processing demands. Data Engineering & Pipelines: Constructing efficient and reliable data ingestion, preprocessing, and augmentation pipelines to ensure high-quality model inputs.