
Graham Richardson enhanced the size_report tool in the renesas/zephyr repository to provide more comprehensive memory footprint analysis for embedded builds. He implemented an all-type report that calculates total runtime memory by summing RAM and ROM, addressing the need for accurate memory planning across multi-target configurations. Using Python and shell scripting, Graham extended the tool’s targets to support multiple report types and improved the JSON output to include symbol location data, enabling precise attribution of memory usage. His work demonstrated depth in build systems and memory analysis, resulting in faster optimization cycles and better configuration-aware risk mitigation for embedded development teams.

October 2025: Delivered enhancements to memory footprint reporting in the size_report tool for the renesas/zephyr repository, enabling a comprehensive view of total memory usage and improved traceability across multi-target configurations. Specifically, added an all-type report to compute total runtime memory by summing RAM and ROM, extended targets to support multiple report types, and enhanced JSON output to include symbol location data for precise footprint analysis. No major bugs fixed this month. Impact: improved memory planning and risk mitigation for embedded builds, faster optimization cycles, and better configuration-aware analysis. Demonstrated skills in embedded tooling, JSON schema design, multi-target support, and rigorous change communication.
October 2025: Delivered enhancements to memory footprint reporting in the size_report tool for the renesas/zephyr repository, enabling a comprehensive view of total memory usage and improved traceability across multi-target configurations. Specifically, added an all-type report to compute total runtime memory by summing RAM and ROM, extended targets to support multiple report types, and enhanced JSON output to include symbol location data for precise footprint analysis. No major bugs fixed this month. Impact: improved memory planning and risk mitigation for embedded builds, faster optimization cycles, and better configuration-aware analysis. Demonstrated skills in embedded tooling, JSON schema design, multi-target support, and rigorous change communication.
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