
Joseph contributed to the stanford-ssi/samwise-flight-software repository by modernizing the codebase and enhancing reliability in embedded systems. He refactored the architecture to remove the state machine, modularized the build system using CMake, and introduced a unified logging system for consistent observability. Joseph also implemented persistent flash-backed data storage with a reboot counter, ensuring critical data survives power cycles and improving telemetry reliability. His work included integrating flash memory operations into the main application flow, updating the build and test workflows, and refining documentation. These changes, developed in C and CMake, reduced maintenance overhead and improved development and debugging efficiency.

In March 2025, delivered core reliability and developer workflow improvements for stanford-ssi/samwise-flight-software. Implemented persistent flash-backed data storage with a reboot counter to ensure data retention across power cycles, integrating flash memory operations into the main application flow and build system to improve telemetry reliability and fault tolerance. Strengthened the build and test workflow by introducing a TEST build profile, updating dependencies (Pico SDK), and refining logging to prevent test-time USB stdio noise. Updated the README with build profile usage and parallel compilation guidance to accelerate developer iteration. These changes reduce data loss on reboot, shorten debugging cycles, and raise code quality and documentation standards for smoother in-field operations and faster delivery cycles.
In March 2025, delivered core reliability and developer workflow improvements for stanford-ssi/samwise-flight-software. Implemented persistent flash-backed data storage with a reboot counter to ensure data retention across power cycles, integrating flash memory operations into the main application flow and build system to improve telemetry reliability and fault tolerance. Strengthened the build and test workflow by introducing a TEST build profile, updating dependencies (Pico SDK), and refining logging to prevent test-time USB stdio noise. Updated the README with build profile usage and parallel compilation guidance to accelerate developer iteration. These changes reduce data loss on reboot, shorten debugging cycles, and raise code quality and documentation standards for smoother in-field operations and faster delivery cycles.
February 2025 performance summary for stanford-ssi/samwise-flight-software. Key outcomes include major codebase modernization, improved observability, and a critical bug fix that stabilizes flight software operations. Codebase Architecture Refactor and Build System Modernization removed the state machine, modularized the build, introduced an init module, and implemented a modular logging system to unify logging across configurations. This modernization improves CI stability, accelerates onboarding, and simplifies development workflows. Implemented a unified modular logging system to improve observability across configurations, enabling faster issue diagnosis and consistent runtime diagnostics. Bug Fix: Running state accounts for all active tasks by increasing the task count from 4 to 5 and introducing a beacon_task to ensure all active tasks are tracked, reducing runtime ambiguity. Overall impact includes reduced maintenance burden, clearer configuration management, and more predictable release cycles. Technologies/skills demonstrated include CMake simplification, HAL cleanup, modular logging architecture, init module design, and systems-level code modernization.
February 2025 performance summary for stanford-ssi/samwise-flight-software. Key outcomes include major codebase modernization, improved observability, and a critical bug fix that stabilizes flight software operations. Codebase Architecture Refactor and Build System Modernization removed the state machine, modularized the build, introduced an init module, and implemented a modular logging system to unify logging across configurations. This modernization improves CI stability, accelerates onboarding, and simplifies development workflows. Implemented a unified modular logging system to improve observability across configurations, enabling faster issue diagnosis and consistent runtime diagnostics. Bug Fix: Running state accounts for all active tasks by increasing the task count from 4 to 5 and introducing a beacon_task to ensure all active tasks are tracked, reducing runtime ambiguity. Overall impact includes reduced maintenance burden, clearer configuration management, and more predictable release cycles. Technologies/skills demonstrated include CMake simplification, HAL cleanup, modular logging architecture, init module design, and systems-level code modernization.
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