masa-umich/Rocket-Avionics
Oct 2025 – Mar 2026
6 Months active
Languages Used
CPython
Technical Skills
C programmingembedded systemsstate machine designfilter algorithmsflight control systemsreal-time programming
Soren Walther
PROFILE
Soren Walther
Sam Walther developed core avionics features for the masa-umich/Rocket-Avionics repository, focusing on flight autosequence control, sensor integration, and data analytics over six months. He architected and refined state machine logic in C to enable deterministic launch sequencing, robust phase transitions, and safe deployment, integrating timing-based transitions and multi-sensor data for improved reliability. Sam enhanced flight data processing with complementary filters and curve fitting algorithms in C and Python, enabling accurate attitude estimation and post-flight analytics. His work included simulation development and real-time programming, resulting in maintainable, testable code that improved system stability, validation coverage, and operational safety.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
19Total
Bugs
0
Commits
19
Features
10
Lines of code
5,130
Activity Months6
Your Network
216 peopleSame Organization
@umich.edu202
Avionics CompMember
Almo-oMember
Alexander SmartMember
Abby DukeMember
Adam DiehlMember
adfarthMember
Alex HansenMember
Ali DowairMember
Aniket JivaniMember
Work History
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.
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
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.
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.
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.
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
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.
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.
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.
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
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.
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.
Activity
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Quality Metrics
Correctness78.0%
Maintainability76.8%
Architecture78.0%
Performance72.6%
AI Usage21.0%
Skills & Technologies
Programming Languages
CPython
Technical Skills
C programmingPython scriptingaerospace engineeringalgorithm developmentdata analysisdata processingembedded systemsfilter algorithmsflight control systemsflight software developmentreal-time programmingreal-time systemssensor integrationsignal processingsimulation development
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