Over a two-month period, contributed to google/benchmark, Automattic/harper, and Lightning-AI/torchmetrics by delivering features and fixes focused on language processing, documentation, and metric tracking. Enhanced the benchmark tool’s documentation to clarify CLI options, improving usability for developers. In Automattic/harper, implemented rule-based language accuracy checks and dictionary updates to address common word confusions and refine text processing. Improved the title case linter to handle time expressions correctly. For torchmetrics, enabled persistent min/max metric tracking across epochs, supporting robust experiment management. Work was carried out using Python and Rust, emphasizing backend development, linting, and comprehensive unit testing for reliability.