
Over four months, JP Shepherd developed and refined avionics software in the CURocketEngineering/Avionics repository, focusing on launch detection, state machine architecture, and serial communication reliability. He implemented a FastLaunchDetector using C++ and object-oriented design, enabling robust acceleration-based launch sequencing with redundancy checks and reset logic. JP overhauled the state machine framework, introducing a modular BaseStateMachine and improving ascent state transitions for maintainability. He enhanced test reliability through targeted enum refactoring and addressed serial handshake issues by updating acknowledgment logic, improving data streaming stability. His work demonstrated depth in embedded systems, real-time processing, and maintainable software engineering practices throughout the project.

January 2026 monthly summary for CURocketEngineering/Avionics. Focused on reliability and correctness of the serial communications stack in the avionics subsystem. Delivered a critical handshake reliability fix and updated streaming logic to align with the new acknowledgment byte, improving data integrity and stability under high-throughput conditions. Business value includes fewer data losses, more deterministic telemetry, and smoother operation in constrained environments.
January 2026 monthly summary for CURocketEngineering/Avionics. Focused on reliability and correctness of the serial communications stack in the avionics subsystem. Delivered a critical handshake reliability fix and updated streaming logic to align with the new acknowledgment byte, improving data integrity and stability under high-throughput conditions. Business value includes fewer data losses, more deterministic telemetry, and smoother operation in constrained environments.
December 2025 | CURocketEngineering/Avionics: Focused work on refining ascent process state management. Delivered a State Management Refactor for the Ascent Process by restructuring the StateMachine's state update flow for improved readability, flow, and reliability. Commit reference: 24208dc409a6fbaa052d8638b3461a4d42fd8459 ('make statemachine STATE update flow more natural'). Major bugs fixed: None reported in this period based on available data. Impact: smoother ascent state transitions, reduced cognitive load for future changes, and a stronger foundation for upcoming enhancements. Demonstrated skills in refactoring, state machine design, and maintainable code practices. Overall, the month delivered a targeted technical improvement with clear business value: increased reliability of ascent operations, easier onboarding for new engineers, and a scalable path for future enhancements.
December 2025 | CURocketEngineering/Avionics: Focused work on refining ascent process state management. Delivered a State Management Refactor for the Ascent Process by restructuring the StateMachine's state update flow for improved readability, flow, and reliability. Commit reference: 24208dc409a6fbaa052d8638b3461a4d42fd8459 ('make statemachine STATE update flow more natural'). Major bugs fixed: None reported in this period based on available data. Impact: smoother ascent state transitions, reduced cognitive load for future changes, and a stronger foundation for upcoming enhancements. Demonstrated skills in refactoring, state machine design, and maintainable code practices. Overall, the month delivered a targeted technical improvement with clear business value: increased reliability of ascent operations, easier onboarding for new engineers, and a scalable path for future enhancements.
November 2025 monthly summary for CURocketEngineering/Avionics focused on enhancing test reliability and maintainability through a targeted enum refactor in the Flight State model. This work strengthens the test suite determinism and reduces CI noise, enabling faster feedback cycles for avionics development.
November 2025 monthly summary for CURocketEngineering/Avionics focused on enhancing test reliability and maintainability through a targeted enum refactor in the Flight State model. This work strengthens the test suite determinism and reduces CI noise, enabling faster feedback cycles for avionics development.
Performance summary for 2025-10 focusing on avionics features delivered, stability improvements, and architectural enhancements in the CURocketEngineering/Avionics repository. The month centered on delivering a robust launch-detection mechanism, stabilizing state-machine behavior, and ensuring post-launch safety and clean state transitions, which collectively improved reliability, safety, and maintainability for future launches.
Performance summary for 2025-10 focusing on avionics features delivered, stability improvements, and architectural enhancements in the CURocketEngineering/Avionics repository. The month centered on delivering a robust launch-detection mechanism, stabilizing state-machine behavior, and ensuring post-launch safety and clean state transitions, which collectively improved reliability, safety, and maintainability for future launches.
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