Worked on the dreadnode/sdk repository to enhance the reliability of metric tracking by addressing a critical bug in metric aggregation. Using Python and leveraging strong debugging and software development skills, implemented a fix that defaults empty prior_values to zero, ensuring more accurate data aggregation and reducing the risk of edge-case telemetry failures. Refactored the metric logging process to return the logged metric object and delegated origin and mode handling to the run span, which improved the clarity and maintainability of the codebase. These changes contributed to more robust analytics dashboards and streamlined the observability pipeline for downstream data consumers.