Worked on a targeted refactor within the rmusser01/llama.cpp repository, focusing on the JaisModel component to enhance code clarity and maintainability. The approach involved removing redundant logic related to wte output, which previously duplicated functionality and increased complexity. By streamlining this logic, the refactor preserved existing behavior and performance while reducing technical debt and simplifying the codebase for future enhancements. This change supports easier onboarding for new contributors and enables faster iteration on model development. The work leveraged skills in C++, machine learning, and model development, with an emphasis on maintainable code structure and commit-based change management practices.