Ali Sayyah focused on backend and deployment enhancements across the menloresearch/litellm and letta-ai/letta repositories, delivering three targeted features in one month. In LiteLLM, Ali expanded model support by integrating the Meta-Llama-3.1-405B-Instruct model, allowing users to access new capabilities through the existing API. For letta, Ali improved configuration robustness using Python and Pydantic by ensuring unexpected environment variables are ignored, reducing runtime errors across environments. Additionally, Ali streamlined the CI/CD pipeline with Docker and GitHub Actions, enabling multi-platform image builds for both amd64 and arm64 architectures. The work demonstrated depth in configuration management and deployment automation.