Worked on the pytorch/torchtitan repository to enhance model training efficiency and compatibility. Addressed a key issue in FlexAttention by replacing return_lse with return_aux, which eliminated graph compilation warnings and improved compatibility with torch.compile, making outputs more accessible for parallel toolchains. Integrated model compilation support into the GPT-OSS module’s parallelization flow, enabling full graph compilation and delivering measurable MFU improvements, particularly on 8xH100 hardware. Collaborated closely with related pull requests to ensure robust integration, improved testability, and thorough documentation. Utilized Python, PyTorch, and deep learning model optimization techniques to deliver both feature enhancements and critical bug fixes.