Rage Bubblegum developed end-to-end Agentic Vertex AI integration for the GoogleCloudPlatform/kubernetes-engine-samples repository, enabling automated deployment and execution of agentic workloads on Vertex AI using ADK. They implemented sample files, a Python agent, Dockerfile, Terraform configurations, and a CI workflow to support reproducible cloud-based setups. Rage also enhanced the developer experience in the GoogleCloudPlatform/ai-on-gke repository by improving the Skypilot tutorial documentation, clarifying GPU usage and reducing user confusion. Their work demonstrated depth in Python development, Infrastructure as Code with Terraform, and containerization, focusing on maintainability, onboarding efficiency, and seamless integration of AI/ML workflows within Google Cloud environments.