Worked on enhancing data accuracy and performance evaluation in JetBrains repositories, focusing on both front-end and benchmarking improvements. In JetBrains/ij-perf-report-aggregator, updated the AI test generation chart metric to SessionsWithoutSyntaxErrorsRatio, providing more reliable insights for quality assurance decisions. For JetBrains/intellij-community, implemented a method to handle double indicators in runtime metrics and configured a dedicated Kotlin benchmarking dataset, enabling repeatable and precise performance assessments. Leveraged Kotlin and Vue for development, applying skills in benchmarking, data configuration, and plugin development. The work emphasized robust metric propagation and data-driven evaluation, supporting maintainable and transparent software quality processes throughout the projects.