Tunjian Tan contributed to the ROCm/aiter repository by addressing configuration management challenges for the MI308 Deepseek-R1 enhancements. During December 2025, he focused on fixing formatting issues and updating tuning parameters within the Deepseek-R1 configuration, which improved the reliability and predictability of the model’s path. His work involved retuning the ptpc fmoe deepseek-r1 for MI308, ensuring that configuration changes were properly documented with sign-offs and co-authored-by metadata. Utilizing Python and applying principles from machine learning and configuration management, Tunjian’s efforts provided targeted improvements rather than broad feature additions, reflecting a depth of focus on stability and maintainability.