During October 2025, Kaix worked on the hpcaitech/TensorRT-Model-Optimizer repository, focusing on improving the reliability of distributed training workflows. He addressed a critical bug in the llm_sparsity example by refining the command-line argument parsing for Fully Sharded Data Parallel (FSDP), specifically removing unnecessary quotes to ensure correct interpretation by shell scripts. Additionally, Kaix updated the transformers dependency to maintain compatibility with recent FSDP changes. His work, primarily using Shell Scripting, enhanced the stability of large-model deployment examples and reduced user misconfiguration risks, demonstrating careful attention to detail and a solid understanding of distributed training environments and dependency management.