In October 2024, Siyuan Yang integrated Torch export functionality into the training pipeline for the pytorch/ao repository, focusing on compatibility with Torch 2.5 and above. Leveraging Python and PyTorch, Siyuan migrated the training intermediate representation to utilize Torch’s export API, which streamlined model export and improved reliability for quantization workflows. This work reduced manual conversion steps and introduced conditional logic based on Torch version, ensuring future-proof deployment. The integration required careful refactoring of export workflows and collaboration with CI/CD processes to maintain stability. Siyuan’s contribution demonstrated depth in machine learning infrastructure and attention to maintainability in evolving codebases.