Gabriel Tobar enhanced the tenstorrent/tt-inference-server repository by updating and restructuring the performance reference JSON used for benchmarking multiple models. He focused on JSON manipulation and data formatting to add missing benchmarking targets and improve the overall structure for better readability and usability. This work enabled more reliable cross-model comparisons and streamlined integration with continuous integration pipelines, supporting faster evaluation and deployment decisions. By refining the performance reference data, Gabriel facilitated easier onboarding for new contributors and improved the traceability of benchmarking changes. His contributions demonstrated a methodical approach to performance benchmarking and data management using JSON technologies.