Tahir worked on the DataDog/dd-trace-js repository, delivering a feature that enhanced telemetry reliability and data quality for Node.js applications. He refactored the telemetry system to send metadata before process spawning, which improved the consistency and completeness of telemetry data, especially during error and abort scenarios. By expanding metadata validation in integration tests and supporting unknown values, Tahir reduced test brittleness and increased flexibility in telemetry reporting. His work leveraged JavaScript and Node.js, focusing on robust testing and telemetry pipeline resilience. This contribution provided deeper observability and enabled faster root-cause analysis, supporting more reliable production monitoring and decision-making.