Dan Gabriel Badea is an MLOps and ML Platform Engineer, Teaching Assistant, and Research Assistant at the National University of Science and Technology POLITEHNICA Bucharest, Romania. He has more than seven years of professional experience in software development, machine learning engineering, and MLOps, with a focus on designing and deploying reliable, scalable, and production-ready machine learning systems. He is currently pursuing a Ph.D. in Computer Science at the Faculty of Automatic Control and Computers, POLITEHNICA Bucharest, where his research focuses on pipeline-aware MLOps architectures, metrics, and observability for efficient, fair, and secure ML systems. His research and professional interests include MLOps, ML platform engineering, distributed and federated learning, AI infrastructure, cloud-native systems, DevSecMLOps, reproducible ML pipelines, CI/CD for machine learning, model lifecycle management, and monitoring and observability of production ML systems. His work combines machine learning engineering, software engineering, distributed systems, and platform engineering to improve the reproducibility, scalability, reliability, and operational robustness of modern AI systems.