Worked on the googleapis/python-aiplatform repository to enhance Docker image build flexibility by introducing explicit target platform support. Extracted the platform argument into a dedicated method parameter, enabling cross-architecture Docker builds and supporting broader deployment scenarios for prediction and custom training workloads. Enforced project governance by ensuring all Docker images are built for Linux x86_64, reducing deployment risks and aligning with hardware requirements. Maintained traceability by linking the implementation to a specific commit for reproducibility and auditability. Utilized Python and Docker within a cloud development context, demonstrating a methodical approach to policy enforcement and deployment reliability in containerized environments.