During April 2025, contributed stability, security, and performance improvements to the liguodongiot/transformers and huggingface/accelerate repositories. Addressed PyTorch API deprecations by refactoring Trainer and ModelOutput classes to ensure compatibility with the latest PyTorch release, enhancing reliability and maintainability. Improved model loading security in huggingface/accelerate by setting weights_only=True in torch.load, mitigating risks associated with arbitrary code execution from state dictionaries. Demonstrated expertise in Python, PyTorch, and secure model loading workflows, with a focus on patch-based maintenance and deep learning best practices. The work reflected a proactive approach to cross-repository maintenance and rapid, impact-driven engineering in large machine learning codebases.