Glenn Huang enhanced the potiuk/airflow repository by extending the Airflow Helm chart to support multi-queue Celery worker sets, enabling independent resource generation and configurable default worker toggling. He implemented robust KEDA autoscaling logic to accurately manage multiple Celery queues, introducing strict queue filtering and improved queue handling using IN clauses. Glenn addressed a persistence.merge bug by restructuring configuration values under .Values.workers, ensuring accurate default handling and preservation of false values. His work included updating schema, tests, and documentation to reflect these changes. Throughout the project, he utilized Python, YAML, Helm, and Kubernetes, demonstrating depth in cloud-native orchestration and workflow automation.