During a two-month period, Don Lv focused on backend development and model configuration, addressing critical reliability issues in deep learning workflows. On the volcengine/verl repository, Don stabilized transformer configuration overrides within Megatron integration by resolving a TypeError that occurred when multiple keyword arguments were provided, ensuring robust and error-free application of configuration changes for model training and inference. In the modelscope/ms-swift repository, Don enhanced dataset provisioning flexibility by making the vp_stage argument optional, which eliminated AssertionErrors and improved compatibility with evolving workflows. Don’s work demonstrated strong proficiency in Python, deep learning, and backend systems, delivering targeted, high-impact bug fixes.