During May 2025, Lin Jiulong enhanced the alibaba/MNN repository by focusing on LLM engine integration and stability using C++ and embedded systems expertise. He implemented direct input embeddings support, allowing the engine to accept MNN::Express::VARP input embeddings for more flexible generation workflows. Lin also refactored the LLM engine’s forward path, removing redundant parameters and code, and streamlined processing by delegating to a unified forwardRaw function. This targeted code refactoring improved maintainability, reduced technical debt, and enabled more robust embedding-based prompts. His work addressed both feature development and bug fixes, demonstrating depth in C++ development and LLM engine design.