Smithsonian/layup
Apr 2025 – May 2025
2 Months active
Languages Used
JAXNumPyPythonSciPyTOML
Technical Skills
AstrodynamicsCode FormattingCoordinate TransformationsCovariance PropagationDependency ManagementJAX
Pedro Bernardinelli
PROFILE
Pedro Bernardinelli
Pedro Bernardinelli developed advanced orbit conversion features for the Smithsonian/layup repository, focusing on both computational performance and code maintainability. He introduced JAX-backed covariance transformations and unified the orbit conversion workflow, leveraging Python and JAX to enable faster computations and auto-differentiation capabilities. In the following month, Pedro migrated the module to Numba, refactored Jacobian calculations to an analytic form for improved accuracy, and added a reusable universal_cartesian helper. His work addressed numerical stability and processing speed, resulting in a more reliable and extensible codebase. The depth of his contributions reflects strong expertise in scientific computing and astrodynamics.
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 people
Work 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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline