masa-umich/Rocket-Avionics
Oct 2025 – May 2026
7 Months active
Languages Used
CPythonXML
Technical Skills
C programmingembedded systemsstate machine designfilter algorithmsflight control systemsreal-time programming
Soren Walther
PROFILE
Soren Walther
Developed and enhanced real-time flight control and data processing systems for the masa-umich/Rocket-Avionics repository, focusing on robust autosequence logic, sensor integration, and reliable state transitions. Leveraged C and Python to implement state machines, complementary filters, and curve-fitting algorithms, enabling accurate apogee detection, attitude estimation, and telemetry analytics under variable atmospheric conditions. Improved firmware structure and boot parameter management to support extensible feature development and mission reliability. Addressed edge-case failures in sensor data handling and deployment timing, while introducing simulation tools for validation. The work demonstrated depth in embedded systems, flight software development, and real-time data analysis for aerospace applications.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
29Total
Bugs
1
Commits
29
Features
12
Lines of code
3,620,798
Activity Months7
Your Network
239 peopleSame Organization
@umich.edu225
Avionics CompMember
Colten GMember
Almo-oMember
Alexander SmartMember
Abby DukeMember
Adam DiehlMember
adfarthMember
Alex HansenMember
Ali DowairMember
Work History
May 2026
10 Commits • 2 Features
May 1, 2026Summary for May 2026 (masa-umich/Rocket-Avionics): Delivered foundational firmware scaffolding and boot parameter data model to enable reliable flight autosequences and future feature work. Implemented robust autosequence logic and improved sensor data handling with barometric detection, mean-based readings, detector resets, and cleaner data processing, reducing noise and edge-case failures. Resolved autosequence edge cases and pressure management issues to improve apogee detection accuracy and deployment timing. This work enhances mission reliability, data quality, and readiness for upcoming autonomous flight features.
10 Commits • 2 Features
May 1, 2026Summary for May 2026 (masa-umich/Rocket-Avionics): Delivered foundational firmware scaffolding and boot parameter data model to enable reliable flight autosequences and future feature work. Implemented robust autosequence logic and improved sensor data handling with barometric detection, mean-based readings, detector resets, and cleaner data processing, reducing noise and edge-case failures. Resolved autosequence edge cases and pressure management issues to improve apogee detection accuracy and deployment timing. This work enhances mission reliability, data quality, and readiness for upcoming autonomous flight features.
May 2026
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026: Monthly summary for masa-umich/Rocket-Avionics focusing on feature delivery and stability improvements. Key work included barometer lockout handling during subsonic-to-supersonic transitions to preserve sensor accuracy and autosequence stability, and the introduction of a synthetic flight simulator with related autosequence bug fixes to expand testing coverage and reliability. These efforts reduce operational risk during high-dynamic flight phases and provide a scalable framework for validation.
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026: Monthly summary for masa-umich/Rocket-Avionics focusing on feature delivery and stability improvements. Key work included barometer lockout handling during subsonic-to-supersonic transitions to preserve sensor accuracy and autosequence stability, and the introduction of a synthetic flight simulator with related autosequence bug fixes to expand testing coverage and reliability. These efforts reduce operational risk during high-dynamic flight phases and provide a scalable framework for validation.
February 2026
6 Commits • 2 Features
Feb 1, 2026February 2026 (2026-02): Delivered focused enhancements to flight autosequence reliability and apogee detection under variable atmospheric conditions for masa-umich/Rocket-Avionics. Highlights include timer-based sequencing improvements, robust temperature handling and state-transition fixes, and a next-gen apogee detection system with improved data handling and pressure management to ensure stable flight phase transitions. These efforts reduce sequencing risk, enable more predictable mission profiles, and lay groundwork for operations in non-standard atmospheres.
6 Commits • 2 Features
Feb 1, 2026February 2026 (2026-02): Delivered focused enhancements to flight autosequence reliability and apogee detection under variable atmospheric conditions for masa-umich/Rocket-Avionics. Highlights include timer-based sequencing improvements, robust temperature handling and state-transition fixes, and a next-gen apogee detection system with improved data handling and pressure management to ensure stable flight phase transitions. These efforts reduce sequencing risk, enable more predictable mission profiles, and lay groundwork for operations in non-standard atmospheres.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01 — Delivered a Flight Data Analytics feature in masa-umich/Rocket-Avionics that enables altitude and motion metrics curve fitting to derive acceleration, velocity, and altitude after the lockout phase in the flight sequence. This work is captured in commit 0dff4e126bab202db540f9b0cebbee6217ac1c88. Business value includes improved post-lockout telemetry interpretation, faster root-cause analysis, and data-driven decision making for flight safety and performance optimization. No major bugs are reported for this month based on the provided data. Technologies/skills demonstrated include data analytics, curve fitting, telemetry processing, and end-to-end feature delivery in an avionics context.
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01 — Delivered a Flight Data Analytics feature in masa-umich/Rocket-Avionics that enables altitude and motion metrics curve fitting to derive acceleration, velocity, and altitude after the lockout phase in the flight sequence. This work is captured in commit 0dff4e126bab202db540f9b0cebbee6217ac1c88. Business value includes improved post-lockout telemetry interpretation, faster root-cause analysis, and data-driven decision making for flight safety and performance optimization. No major bugs are reported for this month based on the provided data. Technologies/skills demonstrated include data analytics, curve fitting, telemetry processing, and end-to-end feature delivery in an avionics context.
December 2025
5 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for masa-umich/Rocket-Avionics focused on delivering higher fidelity flight control and data processing capabilities that enable safer deployment and more reliable flight phase transitions. Key outcomes include: (1) enhanced flight autosequence with ground-state handling and apogee detection, integrating multi-sensor data for robust phase changes and safer deploy; (2) improved attitude estimation through a complementary filter for pitch/roll and streamlining of flight sequence management by removing legacy state machine headers; and (3) a velocity and orientation buffer to better track pitch and yaw during critical flight phases, resulting in improved stability and control. The work integrates sensor fusion, state estimation, and sequence timing improvements to reduce risk, improve data quality for GNC, and accelerate validation cycles.
5 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for masa-umich/Rocket-Avionics focused on delivering higher fidelity flight control and data processing capabilities that enable safer deployment and more reliable flight phase transitions. Key outcomes include: (1) enhanced flight autosequence with ground-state handling and apogee detection, integrating multi-sensor data for robust phase changes and safer deploy; (2) improved attitude estimation through a complementary filter for pitch/roll and streamlining of flight sequence management by removing legacy state machine headers; and (3) a velocity and orientation buffer to better track pitch and yaw during critical flight phases, resulting in improved stability and control. The work integrates sensor fusion, state estimation, and sequence timing improvements to reduce risk, improve data quality for GNC, and accelerate validation cycles.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Focused on refactoring the Flight Autosequence State Machine in masa-umich/Rocket-Avionics to improve maintainability and readiness for future flight logic enhancements. The change consolidates transition flow, reduces complexity, and positions the codebase for safer feature work and testing.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Focused on refactoring the Flight Autosequence State Machine in masa-umich/Rocket-Avionics to improve maintainability and readiness for future flight logic enhancements. The change consolidates transition flow, reduces complexity, and positions the codebase for safer feature work and testing.
October 2025
4 Commits • 1 Features
Oct 1, 2025Month 2025-10 focused on delivering the Flight Autosequence Control System (FSM and Timing) for the Rocket-Avionics project. The effort established a basic state machine and timing groundwork to enable deterministic launch sequencing, with groundwork for state management and timing-based transitions that improve ignition control and handoff events. No explicit major bugs were reported this month; the emphasis was architectural foundation and setup for future integration.
4 Commits • 1 Features
Oct 1, 2025Month 2025-10 focused on delivering the Flight Autosequence Control System (FSM and Timing) for the Rocket-Avionics project. The effort established a basic state machine and timing groundwork to enable deterministic launch sequencing, with groundwork for state management and timing-based transitions that improve ignition control and handoff events. No explicit major bugs were reported this month; the emphasis was architectural foundation and setup for future integration.
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability78.6%
Architecture79.4%
Performance74.4%
AI Usage22.0%
Skills & Technologies
Programming Languages
CPythonXML
Technical Skills
C programmingFreeRTOSPython scriptingSTM32aerospace engineeringalgorithm developmentdata analysisdata processingembedded systemsfilter algorithmsfirmware developmentflight control systemsflight dynamicsflight software developmentreal-time programming
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