Contributed to GoogleCloudPlatform’s kubernetes-engine-samples by delivering an end-to-end Agentic Vertex AI integration, enabling automated deployment and execution of agentic workloads on Vertex AI using ADK. This work involved developing sample files, a Dockerfile, a Python agent, Terraform configurations, and a CI workflow to support reproducible cloud-based setups. Additionally, enhanced the ai-on-gke repository by improving the Skypilot tutorial documentation, clarifying GPU usage and reducing user confusion. Leveraged skills in Python, Terraform, and Kubernetes to address both infrastructure and documentation needs, focusing on maintainability and onboarding. The work demonstrated depth in cloud engineering and agentic workflow enablement without bug fixes.