Jerry Zhang focused on stabilizing core infrastructure in the pytorch/FBGEMM and pytorch/pytorch repositories over a two-month period. In FBGEMM, he addressed a critical shape mismatch in 3D tensor processing by correcting the output shape calculation in the f8f8bf16_rowwise_meta path, ensuring alignment with the WQ dimension and improving reliability for quantization workflows using C++ and PyTorch. In pytorch/pytorch, Jerry reverted ineffective changes to the auto_request_review workflow, restoring CODEOWNER-driven review requests and clarifying review ownership. His work leveraged C++, YAML, and GitHub Actions, emphasizing targeted bug fixes and process stabilization rather than feature development.