Qianxinyu Qxy contributed to the alibaba/MNN repository by developing resource-management improvements for the LLM engine. They introduced an Executor and ExecutorScope to manage execution contexts, aiming to enhance resource isolation and control during model inference. Using C++ and leveraging their expertise in AI model optimization and backend development, Qianxinyu implemented these components to improve throughput, reliability, and scalability of LLM workloads. Their work included a related bugfix and was integrated through the code-review process, ensuring maintainability. This contribution provided a foundation for safer and more efficient large language model operations, demonstrating thoughtful engineering within a complex backend system.