In December 2025, Cici Chen focused on stabilizing Multi-Head Attention within the pytorch/pytorch repository by addressing compatibility issues with cudnn-frontend 1.12.1. She updated the MHA.cpp implementation using C++ and CUDA, introducing conditional logic to support both the latest and older cudnn-frontend versions. Her work resolved critical compile-time errors related to set_generate_stats in cudnn_frontend::graph::SDPA_attributes, ensuring successful builds across different environments. By aligning the test plan and collaborating through targeted PR reviews, Cici contributed to PyTorch’s reliability and maintainability. This work demonstrated depth in deep learning infrastructure and careful attention to backward compatibility and deployment requirements.