Worked on the guardian/recipes-backend repository to enhance ingredient density spike processing, focusing on normalizing datasets and ensuring accurate unit handling for improved data consistency. Leveraged Python and SQL to implement robust database querying and scripting solutions, which streamlined the management of ingredient density spikes by aggregating related changes into a cohesive feature set. Updated documentation to clarify ingredient matching behavior and provided detailed context for future density spikes, aligning code and documentation for better maintainability. The work emphasized clear communication and technical precision, prioritizing feature delivery and documentation improvements over bug fixes during the month, resulting in a more transparent backend process.