Worked on the unslothai/unsloth repository to enhance the stability of distributed deep learning workflows by addressing configuration handling for GRPO logit scaling under Distributed Data Parallel (DDP). Introduced a Python-based helper function that reliably retrieves logit scaling configurations from the model, reducing the risk of misconfiguration and runtime errors during distributed training. Collaborated with other contributors to co-author a targeted bug fix, which improved the reliability of distributed experiments and streamlined onboarding for new team members. Leveraged skills in deep learning, machine learning, and unit testing to ensure robust code quality and facilitate faster iteration cycles within the project.