Karen Chung developed an ARM64 CUDA build configuration for the ai-dynamo/dynamo repository, focusing on enhancing cross-architecture compatibility for the vLLM framework. She implemented ARM64-specific build pipelines and set default CUDA environment values, streamlining the deployment process for ARM64 users and reducing manual configuration steps. Her work involved customizing Docker build processes and leveraging containerization and DevOps practices to ensure more predictable and stable builds. By addressing the unique requirements of ARM64 environments using bash scripting and Docker, Karen enabled broader hardware support and simplified onboarding for new users, contributing to a smoother development experience without introducing new bugs.