Worked on the IBM/terratorch repository to enhance the reliability and maintainability of its embedding notebook and documentation. Updated the Jupyter notebook to use terratorch library version 1.2.4, enabling access to the latest embedding features and ensuring compatibility with ongoing machine learning workflows. Addressed documentation accuracy by correcting a hyperlink in the CONTRIBUTING.md file, improving onboarding and reducing user friction. All changes were tracked with precise, auditable commits, supporting traceability and easier rollback if needed. Leveraged Python, Markdown, and version control throughout the process, focusing on clear, incremental improvements that support both end users and future contributors to the project.