Smithsonian/layup
Apr 2025 – May 2025
2 Months active
Languages Used
JAXNumPyPythonSciPyTOML
Technical Skills
AstrodynamicsCode FormattingCoordinate TransformationsCovariance PropagationDependency ManagementJAX
Pedro Bernardinelli
PROFILE
Pedro Bernardinelli
Worked on the Smithsonian/layup repository to enhance orbit conversion workflows, focusing on both performance and maintainability. Developed JAX-backed covariance transformations for orbit conversions, consolidating related code into a unified module and enabling auto-differentiation for future orbit planning. Later, migrated the orbit conversion logic from JAX to Numba, refactoring Jacobian calculations to analytic form for improved accuracy and stability. Introduced a universal_cartesian helper to streamline coordinate transformations and updated dependency management to support these changes. Leveraged Python, JAX, and Numba throughout, delivering faster, more reliable orbit computations and a cleaner, extensible codebase for scientific computing applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
890
Activity Months2
Your Network
10 peopleWork History
May 2025
2 Commits • 1 Features
May 1, 20252025-05 monthly summary: Delivered performance and accuracy improvements to the orbit conversion module in Smithsonian/layup, with a refactor of Jacobian calculations to an analytic form, and added a reusable universal_cartesian helper. The work enhances processing speed, numerical stability, and maintainability, delivering tangible business value through faster and more reliable orbit computations and a cleaner, more extensible codebase.
2 Commits • 1 Features
May 1, 20252025-05 monthly summary: Delivered performance and accuracy improvements to the orbit conversion module in Smithsonian/layup, with a refactor of Jacobian calculations to an analytic form, and added a reusable universal_cartesian helper. The work enhances processing speed, numerical stability, and maintainability, delivering tangible business value through faster and more reliable orbit computations and a cleaner, more extensible codebase.
May 2025
April 2025
5 Commits • 1 Features
Apr 1, 2025Summary for 2025-04: Delivered JAX-backed covariance transformations for orbit conversions within Smithsonian/layup and consolidated the orbit conversion workflow under a unified module. This work enhances compute performance, enables potential auto-differentiation for orbit planning, and improves maintainability. No major bugs fixed in this area this month; the focus was feature delivery and foundational infrastructure.
April 2025
5 Commits • 1 Features
Apr 1, 2025Summary for 2025-04: Delivered JAX-backed covariance transformations for orbit conversions within Smithsonian/layup and consolidated the orbit conversion workflow under a unified module. This work enhances compute performance, enables potential auto-differentiation for orbit planning, and improves maintainability. No major bugs fixed in this area this month; the focus was feature delivery and foundational infrastructure.
Activity
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Quality Metrics
Correctness92.8%
Maintainability85.8%
Architecture87.2%
Performance91.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JAXNumPyPythonSciPyTOML
Technical Skills
AstrodynamicsCode FormattingCoordinate TransformationsCovariance PropagationDependency ManagementJAXNumbaNumerical AnalysisNumerical ComputationNumerical MethodsOrbital MechanicsPythonScientific Computing
Repositories Contributed To
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