Contributed to NVIDIA/torch-harmonics and ggml-org/llama.cpp by focusing on documentation quality, onboarding experience, and code maintainability. Improved installation instructions and clarified the spherical attention feature in the torch-harmonics README using Markdown and Python, reducing user confusion and streamlining onboarding for new contributors. Addressed a minor code comment typo in the parameter counting function to enhance code clarity. In llama.cpp, corrected a README typo in the features list, ensuring documentation accuracy for users and contributors. The work emphasized clear communication, precise documentation, and maintainable code, leveraging skills in data science, machine learning, and technical writing to support project usability.