ML frameworks (PyTorch, MLOps tools (MLflow, Kubernetes), Containerization (Docker, AV1), TensorFlow), Airflow), Codec standards (H.264, Machine learning systems architecture, Kubeflow, Streaming technologies, Scalable machine learning systems, HEVC, Model serving, Video processing pipelines, Inference optimization, Data pipelines, Large-scale distributed systems