Worked on the microsoft/fabric-toolbox repository to enhance performance engineering workflows by improving test result traceability and data accuracy. Developed a new feature for the FabricLoadTestTool that introduced a visual_id column, enabling seamless identification of visuals within Power BI reports and supporting more reliable business intelligence dashboards. Addressed a critical data aggregation issue by correcting the quantile calculation to accurately report the 50th percentile latency, ensuring precise performance insights. Leveraged Python for data analysis, load testing, and performance testing, aligning the test result schema with reporting requirements to reduce ambiguity and accelerate dashboard development for performance result decision-making.