During December 2024, contributed to both the menloresearch/litellm and letta-ai/letta repositories by delivering targeted feature enhancements and deployment optimizations. Expanded LiteLLM’s capabilities by integrating support for the Meta-Llama-3.1-405B-Instruct model, allowing users to access new model functionality through the existing API. Improved configuration robustness in letta by updating Pydantic settings to ignore unexpected environment variables, reducing runtime errors across diverse environments. Streamlined the CI/CD pipeline for letta by enabling multi-platform Docker image builds using QEMU and Buildx, simplifying deployment for both amd64 and arm64 architectures. Work focused on Python, Docker, and CI/CD best practices.