lasp/basilisk
Apr 2025 – Jan 2026
8 Months active
Languages Used
C++PythonreStructuredTextC
Technical Skills
C++C++ DevelopmentCode ImprovementLinear AlgebraPython ScriptingRefactoring
Chun-Wei Kong
PROFILE
Chun-wei Kong
Over eight months, this developer enhanced the lasp/basilisk repository by delivering fifteen features focused on estimation algorithms, diagnostics, and data visualization. They modernized core modules using C++ and Python, refactored algorithms for maintainability, and integrated libraries like Eigen and NumPy to improve performance and testability. Their work included developing diagnostics messaging for navigation and image processing, expanding unit test coverage, and introducing robust error handling. They also built a dataframe-based histogram plotting tool to streamline data analysis. Emphasizing code quality and modularity, they improved documentation, refactored APIs, and strengthened the reliability of embedded systems and simulation workflows.
Overall Statistics
Feature vs Bugs
94%Features
Repository Contributions
32Total
Bugs
1
Commits
32
Features
15
Lines of code
3,409
Activity Months8
Your Network
10 peopleShared Repositories
10
Bushra AldhanhaniMember
Cody AllardMember
Julian HammerlMember
Leah KinerMember
patrick kenneallyMember
patrick kenneallyMember
Safa Al HosaniMember
Thibaud TeilMember
tteilMember
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a new DS_HistPlot feature in lasp/basilisk that enables histogram plotting directly from dataframes, significantly improving data visualization workflows and accelerating data-driven decision making. The work establishes a dedicated DS_HistPlot class and integrates a focused plotting capability into the existing dataframe tooling, positioning the project for further dataframe-driven analytics improvements.
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a new DS_HistPlot feature in lasp/basilisk that enables histogram plotting directly from dataframes, significantly improving data visualization workflows and accelerating data-driven decision making. The work establishes a dedicated DS_HistPlot class and integrates a focused plotting capability into the existing dataframe tooling, positioning the project for further dataframe-driven analytics improvements.
January 2026
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for lasp/basilisk: Focused on improving observability and reliability of the Center of Brightness algorithm. Delivered a diagnostics messaging framework and enhanced unit tests, enabling reporting of execution state, pixel detection flags, and brightness threshold checks. These changes improve debuggability, faster diagnosis, and maintainability of brightness-related logic. Demonstrated strong engineering in observability design, test coverage, and code quality through targeted commits.
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for lasp/basilisk: Focused on improving observability and reliability of the Center of Brightness algorithm. Delivered a diagnostics messaging framework and enhanced unit tests, enabling reporting of execution state, pixel detection flags, and brightness threshold checks. These changes improve debuggability, faster diagnosis, and maintainability of brightness-related logic. Demonstrated strong engineering in observability design, test coverage, and code quality through targeted commits.
October 2025
6 Commits • 2 Features
Oct 1, 20252025-10 monthly recap for lasp/basilisk: Delivered two major diagnostics-focused features that improve on-orbit monitoring, data quality, and robustness of navigation workflows, along with expanded unit test coverage and algorithm refinements. The work emphasizes actionable telemetry, outlier detection, and safe decision-making in flight.
6 Commits • 2 Features
Oct 1, 20252025-10 monthly recap for lasp/basilisk: Delivered two major diagnostics-focused features that improve on-orbit monitoring, data quality, and robustness of navigation workflows, along with expanded unit test coverage and algorithm refinements. The work emphasizes actionable telemetry, outlier detection, and safe decision-making in flight.
October 2025
August 2025
6 Commits • 2 Features
Aug 1, 2025August 2025 (Month: 2025-08) monthly summary for lasp/basilisk: delivered key feature enhancements and robustness improvements that enhance maintainability, reliability, and future extensibility. No discrete bug fixes were closed this month; work focused on refactoring, documentation, and testability to reduce risk and accelerate upcoming development.
August 2025
6 Commits • 2 Features
Aug 1, 2025August 2025 (Month: 2025-08) monthly summary for lasp/basilisk: delivered key feature enhancements and robustness improvements that enhance maintainability, reliability, and future extensibility. No discrete bug fixes were closed this month; work focused on refactoring, documentation, and testability to reduce risk and accelerate upcoming development.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 focused on improving core reliability and test coverage for the Basilisk project. Refactored the FlybyPoint core logic into a dedicated FlybyPointAlgorithm class, preserving external behavior while improving maintainability and readability. Expanded unit-test coverage by adding getters tests to verify data integrity after setters, reducing regression risk. No major customer-facing bugs were reported this month; the work delivered structural improvements, better validation, and a stronger foundation for future enhancements.
2 Commits • 1 Features
Jul 1, 2025July 2025 focused on improving core reliability and test coverage for the Basilisk project. Refactored the FlybyPoint core logic into a dedicated FlybyPointAlgorithm class, preserving external behavior while improving maintainability and readability. Expanded unit-test coverage by adding getters tests to verify data integrity after setters, reducing regression risk. No major customer-facing bugs were reported this month; the work delivered structural improvements, better validation, and a stronger foundation for future enhancements.
July 2025
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for lasp/basilisk: Delivered robust testing and architectural improvements to boost reliability, maintainability, and deployment confidence. Key outcomes include expanded test coverage for UKF tuning, a refactor of SunlineEphem to extract its core algorithm and streamline the API, and the replacement of error logging with asserts to harden input validation. These efforts reduce flaky behavior, enable safer refactors, and improve overall system robustness across critical estimation components.
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for lasp/basilisk: Delivered robust testing and architectural improvements to boost reliability, maintainability, and deployment confidence. Key outcomes include expanded test coverage for UKF tuning, a refactor of SunlineEphem to extract its core algorithm and streamline the API, and the replacement of error logging with asserts to harden input validation. These efforts reduce flaky behavior, enable safer refactors, and improve overall system robustness across critical estimation components.
May 2025
7 Commits • 4 Features
May 1, 2025Monthly summary for 2025-05 focused on key accomplishments, major fixes, impact, and skills demonstrated for lasp/basilisk. Delivered bias-aware improvements to the inertial attitude UKF, benchmark tooling for performance comparison, and enhanced test coverage for ephemeris modules, driving robustness and maintainability.
7 Commits • 4 Features
May 1, 2025Monthly summary for 2025-05 focused on key accomplishments, major fixes, impact, and skills demonstrated for lasp/basilisk. Delivered bias-aware improvements to the inertial attitude UKF, benchmark tooling for performance comparison, and enhanced test coverage for ephemeris modules, driving robustness and maintainability.
May 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 performance snapshot for lasp/basilisk: Focused on modernization of core ephemeris modules to improve readability, maintainability, and alignment with modern C++ practices, while preserving existing functionality. Key outcomes include EphemDifference modernization (C++ compliant, element-wise subtraction, and std::array usage, with range-based for loops) and SunlineEphem modernization with Eigen for vector/matrix operations. These changes enhance code quality, future maintainability, and potential performance benefits, enabling faster onboarding and safer enhancements.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 performance snapshot for lasp/basilisk: Focused on modernization of core ephemeris modules to improve readability, maintainability, and alignment with modern C++ practices, while preserving existing functionality. Key outcomes include EphemDifference modernization (C++ compliant, element-wise subtraction, and std::array usage, with range-based for loops) and SunlineEphem modernization with Eigen for vector/matrix operations. These changes enhance code quality, future maintainability, and potential performance benefits, enabling faster onboarding and safer enhancements.
Activity
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Quality Metrics
Correctness92.4%
Maintainability88.0%
Architecture85.6%
Performance85.0%
AI Usage20.6%
Skills & Technologies
Programming Languages
CC++PythonreStructuredText
Technical Skills
Algorithm ComparisonAlgorithm DesignAlgorithm DevelopmentAlgorithm RefactoringAttitude Determination and ControlC programmingC++C++ DevelopmentC++ programmingC/C++ developmentCode ImprovementCode RefactoringControl SystemsData AnalysisDocumentation
Repositories Contributed To
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