Over a two-month period, contributed to backend and AI infrastructure projects, focusing on reliability and deployment readiness. In the LMCache/LMCache repository, addressed a critical configuration validation issue by restoring environment-variable validation logic and expanding test coverage to ensure robust environment-based loading. For rebellions-sw/vllm-rbln, delivered four features including enhanced testing for sampling robustness, deployment improvements supporting CPU-only compilation, and compatibility updates for quantization and MoE models. Work included code maintenance, type hinting, and CI workflow enhancements, all implemented in Python and YAML. Emphasized automation, model optimization, and thorough documentation to improve code quality and maintainability across both repositories.