
During a three-month period, Michael Bailly developed and enhanced the Terrapin-Rocket-Team/Airbrake repository, focusing on embedded C++ and Python systems for aerospace applications. He delivered a body-frame vector conversion to improve aerodynamic modeling and implemented robust motor stall detection to increase airbrake safety, leveraging control systems, linear algebra, and state machines. Michael also built a Python-based rocket trajectory simulation engine that models mass, velocity, and orientation over time, supporting integration with flight systems through improved data handling and serial communication. He maintained repository hygiene by identifying and planning remediation for accidental bytecode artifacts, demonstrating thoroughness in both development and maintenance.

September 2025 monthly summary for Terrapin-Rocket-Team/Airbrake focused on repository hygiene and artifact prevention. No new user-facing features were delivered this month; the effort centered on identifying and planning remediation for an accidental build artifact to protect CI integrity and release quality. The remediation plan prioritizes removing the artifact and adding ignore rules in a follow-up commit to prevent recurrence.
September 2025 monthly summary for Terrapin-Rocket-Team/Airbrake focused on repository hygiene and artifact prevention. No new user-facing features were delivered this month; the effort centered on identifying and planning remediation for an accidental build artifact to protect CI integrity and release quality. The remediation plan prioritizes removing the artifact and adding ignore rules in a follow-up commit to prevent recurrence.
Month 2025-03: Delivered a Python-based Rocket Trajectory Propagation Simulation Engine for Airbrake, enabling time-stepped updates of mass, acceleration, velocity, position, and orientation while accounting for motor thrust, air density, and flap angle. Implemented initial Airbrake state header initialization to configure flight parameters and noted a TODO for CdA area calculation. The month also included groundwork for follow-up refactors to improve structure, data handling, sensor configurations, serial communication loop, and data formatting for integration with the flight system. While no explicit bug fixes are recorded in the provided data, the changes establish a solid foundation for end-to-end simulation and integration testing.
Month 2025-03: Delivered a Python-based Rocket Trajectory Propagation Simulation Engine for Airbrake, enabling time-stepped updates of mass, acceleration, velocity, position, and orientation while accounting for motor thrust, air density, and flap angle. Implemented initial Airbrake state header initialization to configure flight parameters and noted a TODO for CdA area calculation. The month also included groundwork for follow-up refactors to improve structure, data handling, sensor configurations, serial communication loop, and data formatting for integration with the flight system. While no explicit bug fixes are recorded in the provided data, the changes establish a solid foundation for end-to-end simulation and integration testing.
February 2025 Monthly Summary for Terrapin-Rocket-Team/Airbrake: Delivered two major features to advance performance and safety of the airbrake system. Key work focused on improving CdA estimation accuracy and strengthening motor control safety. Highlights include a body-frame vector conversion for CdA estimation and a robust motor stall detection with safe control initialization, supported by a refactor to centralize stall logic via MotorStopCondition. These contributions deliver tangible business value through more accurate aerodynamic modeling and safer, more reliable braking operations.
February 2025 Monthly Summary for Terrapin-Rocket-Team/Airbrake: Delivered two major features to advance performance and safety of the airbrake system. Key work focused on improving CdA estimation accuracy and strengthening motor control safety. Highlights include a body-frame vector conversion for CdA estimation and a robust motor stall detection with safe control initialization, supported by a refactor to centralize stall logic via MotorStopCondition. These contributions deliver tangible business value through more accurate aerodynamic modeling and safer, more reliable braking operations.
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