Amr Amjadi optimized CUDA Docker builds for the jeejeelee/vllm repository by introducing a dedicated csrc-build stage, streamlining the Dockerfile to accelerate kernel compilation and simplify dependency management. He also addressed a Docker build cache invalidation issue in the vllm-project/ci-infra repository, conditionally passing VLLM_MERGE_BASE_COMMIT in CI workflows to prevent unnecessary cache resets when precompiled binaries were not used. These changes improved build speed, reliability, and maintainability across both repositories. Amr’s work demonstrated practical application of Docker, Python, and CI/CD automation, reflecting a thoughtful approach to cross-repository build optimization and continuous integration reliability.