During his work on PaddlePaddle and PaddleNLP, Fengwei Liu developed features to streamline distributed training and model deployment. He enhanced AutoParallel documentation and configuration reliability, clarifying environment setup and execution for multiple training modes using Python and Markdown. In PaddlePaddle, he optimized the reshard operation by refactoring the kernel implementation to use a Slice kernel, improving efficiency for replicated-to-sharded tensor operations. Liu also introduced a fallback mechanism for distributed tensor sharding, enabling flexible sharding across mesh dimensions and adding comprehensive test coverage. His contributions demonstrated depth in distributed systems, configuration management, and performance optimization, resulting in more robust distributed workflows.