Smithsonian/layup
Mar 2025 – Mar 2025
1 Month active
Languages Used
C++Python
Technical Skills
API DevelopmentAstronomy Software DevelopmentC++C++ DevelopmentData StructuresModule Development
Kevin Napier
PROFILE
Kevin Napier
Worked on Smithsonian/layup to overhaul the observation data model, focusing on improving robustness, maintainability, and cross-language accessibility for orbital data workflows. Refactored the core Observation struct in C++ by introducing union-like variants, std::array for observer positions, and explicit data-type instantiation, reducing runtime ambiguity and edge-case failures. Developed Python bindings using pybind11 to expose Orbfit results and related structures, enabling direct access to orbital fitting results from Python-based analytics. Addressed interface correctness and maintainability through targeted bug fixes and code refactoring, while laying groundwork for future enhancements. Emphasized software design, data structures, and seamless C++/Python integration throughout the work.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
2
Lines of code
596
Activity Months1
Your Network
224 peopleSame Organization
@umich.edu214
Avionics CompMember
Almo-oMember
Alexander SmartMember
Abby DukeMember
Adam DiehlMember
adfarthMember
Alex HansenMember
Ali DowairMember
Aniket JivaniMember
Work History
March 2025
9 Commits • 2 Features
Mar 1, 2025March 2025 monthly highlights for Smithsonian/layup focused on data-model robustness, cross-language accessibility, and maintainability improvements that elevate reliability and ease of experimentation with orbital data. The work delivered prepares the ground for advanced analytics while ensuring stable interfaces for Python-based workflows.
9 Commits • 2 Features
Mar 1, 2025March 2025 monthly highlights for Smithsonian/layup focused on data-model robustness, cross-language accessibility, and maintainability improvements that elevate reliability and ease of experimentation with orbital data. The work delivered prepares the ground for advanced analytics while ensuring stable interfaces for Python-based workflows.
March 2025
Activity
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Quality Metrics
Correctness89.0%
Maintainability91.2%
Architecture84.4%
Performance84.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
API DevelopmentAstronomy Software DevelopmentC++C++ DevelopmentData StructuresModule DevelopmentObject-Oriented ProgrammingPybind11PythonRefactoringSoftware DesignSoftware DevelopmentSoftware Engineeringpybind11
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