Over ten months, Telan contributed to CURocketEngineering/Avionics by developing and refining embedded avionics software for flight systems. He engineered robust state estimation, launch and apogee detection, and data logging features, focusing on reliability and maintainability. Using C++ and Python, Telan implemented modular state machines, Kalman filters, and SPI/SD card data handling, while integrating simulation and hardware abstraction layers to support both real-time and test environments. His work included extensive code quality improvements with clang-tidy, static analysis, and documentation updates. These efforts enhanced system safety, streamlined testing, and improved data integrity, supporting rapid iteration and dependable flight operations.
January 2026: Avionics project delivered maintainability, safety, and quality improvements. Notable outcomes include enhanced documentation and tooling, dynamic weighting for ground level estimation, memory-safety improvements in telemetry, and clang-tidy-driven code quality cleanups that reduce risk and ease future maintenance.
January 2026: Avionics project delivered maintainability, safety, and quality improvements. Notable outcomes include enhanced documentation and tooling, dynamic weighting for ground level estimation, memory-safety improvements in telemetry, and clang-tidy-driven code quality cleanups that reduce risk and ease future maintenance.
November 2025 monthly summary for CURocketEngineering/Avionics: Focused on strengthening system reliability, future-proofing state management, and improving testability. Implemented a BaseStateMachine-based architecture for SerialSim to enable flexible state transitions and easier future enhancements. Enabled memcpy support on constrained hardware by adding the cstring header to ArduinoHAL, unlocking more efficient memory manipulation. Documented the live telemetry test flight to improve performance evaluation, traceability, and debugging during flight tests. Overall impact includes reduced maintenance risk, faster feature delivery, and improved telemetry diagnostics.
November 2025 monthly summary for CURocketEngineering/Avionics: Focused on strengthening system reliability, future-proofing state management, and improving testability. Implemented a BaseStateMachine-based architecture for SerialSim to enable flexible state transitions and easier future enhancements. Enabled memcpy support on constrained hardware by adding the cstring header to ArduinoHAL, unlocking more efficient memory manipulation. Documented the live telemetry test flight to improve performance evaluation, traceability, and debugging during flight tests. Overall impact includes reduced maintenance risk, faster feature delivery, and improved telemetry diagnostics.
Month: 2025-09. Delivered a targeted feature in CURocketEngineering/Avionics, introducing a polynomial model for apogee prediction in the state estimation module, and streamlined build/deploy by adjusting pre-commit hooks for this release.
Month: 2025-09. Delivered a targeted feature in CURocketEngineering/Avionics, introducing a polynomial model for apogee prediction in the state estimation module, and streamlined build/deploy by adjusting pre-commit hooks for this release.
June 2025 — CURocketEngineering/Avionics: Delivered substantial code quality improvements, API refinements, and enhanced flight-test telemetry. Key outcomes include pervasive clang-tidy hygiene across modules, the AccelerationTriplet type refactor for clearer data modeling, and a safer, more efficient state machine update signature using const references. Comprehensive lint cleanups across DataSaverSPI and DataSaverBigSD reduced defects and improved build health. Flight-test documentation and irec reporting were enhanced with power-on and launch times, improving test visibility for stakeholders. These efforts reduce maintenance costs, accelerate future feature work, and raise the team's ability to deliver reliable avionics features.
June 2025 — CURocketEngineering/Avionics: Delivered substantial code quality improvements, API refinements, and enhanced flight-test telemetry. Key outcomes include pervasive clang-tidy hygiene across modules, the AccelerationTriplet type refactor for clearer data modeling, and a safer, more efficient state machine update signature using const references. Comprehensive lint cleanups across DataSaverSPI and DataSaverBigSD reduced defects and improved build health. Flight-test documentation and irec reporting were enhanced with power-on and launch times, improving test visibility for stakeholders. These efforts reduce maintenance costs, accelerate future feature work, and raise the team's ability to deliver reliable avionics features.
Month: 2025-04 — CURocketEngineering/Avionics delivered key features, fixed critical issues, and improved reliability, data quality, and testing capability. Key features delivered include VVE integration (with lifecycle changes and post-launch updates), DataSaverBig/SD data handling enhancements, SPI/SD backend improvements with SdFat migration and mocks, apogee predictor enhancements (warmup cycles and quadratic drag) with enriched telemetry naming, and PowerManagement.h. Additional work enabled end-to-end validation via Sim Everything. Major bugs fixed include LaunchDetector rename and timing path, apogee predictor filter/ms conversion fixes, BASM/serial sim guard rails, and data-path/type fixes (int32-to-long, big SD saver path). Overall impact: higher mission reliability, better data integrity, and faster iteration; Technologies demonstrated: embedded C/C++, SPI/SdFat data paths, robust testing/mocking, simulation-driven validation, and power management.
Month: 2025-04 — CURocketEngineering/Avionics delivered key features, fixed critical issues, and improved reliability, data quality, and testing capability. Key features delivered include VVE integration (with lifecycle changes and post-launch updates), DataSaverBig/SD data handling enhancements, SPI/SD backend improvements with SdFat migration and mocks, apogee predictor enhancements (warmup cycles and quadratic drag) with enriched telemetry naming, and PowerManagement.h. Additional work enabled end-to-end validation via Sim Everything. Major bugs fixed include LaunchDetector rename and timing path, apogee predictor filter/ms conversion fixes, BASM/serial sim guard rails, and data-path/type fixes (int32-to-long, big SD saver path). Overall impact: higher mission reliability, better data integrity, and faster iteration; Technologies demonstrated: embedded C/C++, SPI/SdFat data paths, robust testing/mocking, simulation-driven validation, and power management.
March 2025 performance summary for CURocketEngineering/Avionics focused on increasing simulation fidelity, reliability, and maintainability. Delivered altitude-aware Serial_Sim integration, hardened data streaming with robust handshake, and substantial code/docs hygiene to align with real hardware and real-world deployments. The work reduces debugging time, improves testing accuracy, and accelerates readiness for flight-ready scenarios.
March 2025 performance summary for CURocketEngineering/Avionics focused on increasing simulation fidelity, reliability, and maintainability. Delivered altitude-aware Serial_Sim integration, hardened data streaming with robust handshake, and substantial code/docs hygiene to align with real hardware and real-world deployments. The work reduces debugging time, improves testing accuracy, and accelerates readiness for flight-ready scenarios.
February 2025 performance summary for CURocketEngineering/Avionics. Delivered a cohesive set of avionics software improvements focused on reliability, testability, and flight-readiness. Implemented modular flight-state logic, enhanced data handling, and modernized SPI integration, while strengthening documentation and testing foundations. This work reduces risk in flight operations, accelerates iteration, and improves cross-team collaboration for future releases.
February 2025 performance summary for CURocketEngineering/Avionics. Delivered a cohesive set of avionics software improvements focused on reliability, testability, and flight-readiness. Implemented modular flight-state logic, enhanced data handling, and modernized SPI integration, while strengthening documentation and testing foundations. This work reduces risk in flight operations, accelerates iteration, and improves cross-team collaboration for future releases.
2025-01 CURocketEngineering/Avionics monthly summary: Focused on delivering core data capture, post-launch decision support, and infrastructure improvements with an emphasis on reliability, testability, and build stability. The team completed a set of high-impact features and fixed critical reliability bugs, enabling faster data save, precise time-based data labeling, clearer launch predictor outcomes, and a more maintainable codebase for future work.
2025-01 CURocketEngineering/Avionics monthly summary: Focused on delivering core data capture, post-launch decision support, and infrastructure improvements with an emphasis on reliability, testability, and build stability. The team completed a set of high-impact features and fixed critical reliability bugs, enabling faster data save, precise time-based data labeling, clearer launch predictor outcomes, and a more maintainable codebase for future work.
December 2024: Delivered critical FlashDriver enhancements for CURocketEngineering/Avionics, focusing on stabilizing data transmission and increasing hardware flexibility. Implemented a bug fix in the FlashDriver write path and added SPI pin configurability in the constructor. These changes improve reliability of flash memory operations, reduce risk of data corruption, and enhance maintainability and portability across hardware variants. Business impact includes fewer field failures, smoother onboarding of new boards, and faster hardware integration within avionics workflows.
December 2024: Delivered critical FlashDriver enhancements for CURocketEngineering/Avionics, focusing on stabilizing data transmission and increasing hardware flexibility. Implemented a bug fix in the FlashDriver write path and added SPI pin configurability in the constructor. These changes improve reliability of flash memory operations, reduce risk of data corruption, and enhance maintainability and portability across hardware variants. Business impact includes fewer field failures, smoother onboarding of new boards, and faster hardware integration within avionics workflows.
November 2024: Launch Predictor robustness enhancements in CURocketEngineering/Avionics to stabilize launch detection and improve reliability. Key changes include refactoring CircularArray initialization for efficient defaults; enforce minimum and maximum window sizes to ensure data points are within valid ranges; and updating related components to stabilize operation. The work also expands metric instrumentation by introducing median acceleration squared and average cycle rate, and updating LaunchPredictor to use these metrics for stronger launch condition checks. Business impact includes reduced false triggers, improved diagnostics, and stronger overall system reliability. No separate critical bugs fixed this month; the focus was on feature-driven stability improvements with measurable business value.
November 2024: Launch Predictor robustness enhancements in CURocketEngineering/Avionics to stabilize launch detection and improve reliability. Key changes include refactoring CircularArray initialization for efficient defaults; enforce minimum and maximum window sizes to ensure data points are within valid ranges; and updating related components to stabilize operation. The work also expands metric instrumentation by introducing median acceleration squared and average cycle rate, and updating LaunchPredictor to use these metrics for stronger launch condition checks. Business impact includes reduced false triggers, improved diagnostics, and stronger overall system reliability. No separate critical bugs fixed this month; the focus was on feature-driven stability improvements with measurable business value.
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