
Max West developed core features for the Smithsonian/layup repository, focusing on C++ and Python integration for orbital mechanics workflows. He exposed the Orbit Fit functionality through a Python API using Pybind11, refactored bindings for maintainability, and resolved dependency issues to stabilize builds. Max extended the repository with a Prediction API, introducing batch prediction and NumPy-to-Eigen conversion utilities to support scalable inference. He also integrated an autodiff library as a git submodule, establishing automated test coverage with Python. His work emphasized robust build systems, modular code organization, and cross-language readiness, laying a solid foundation for future extensibility and reliability.

May 2025 monthly summary for Smithsonian/layup focused on dependency management, test coverage, and foundation for autodiff capabilities. Implemented a robust submodule integration of an autodiff library with a basic test harness, enabling repeatable builds and verifiable functionality. This work closes a loop between library dependency management and automated verification, reducing risk in future integrations.
May 2025 monthly summary for Smithsonian/layup focused on dependency management, test coverage, and foundation for autodiff capabilities. Implemented a robust submodule integration of an autodiff library with a basic test harness, enabling repeatable builds and verifiable functionality. This work closes a loop between library dependency management and automated verification, reducing risk in future integrations.
April 2025 monthly summary for Smithsonian/layup. Focus on feature delivery for the Prediction API, Python bindings, and maintainability improvements, along with repository alignment activities. This period prioritized cross-language integration readiness and code organization to support scalable inference.
April 2025 monthly summary for Smithsonian/layup. Focus on feature delivery for the Prediction API, Python bindings, and maintainability improvements, along with repository alignment activities. This period prioritized cross-language integration readiness and code organization to support scalable inference.
March 2025 - Smithsonian/layup: Delivered Python API exposure for Orbit Fit with robust C++/Python bindings, enabling a file-based orbit fitting workflow. Refactored OrbitfitResult and Observation bindings into dedicated modules, implemented formatting cleanup, and resolved critical import/dependency issues to stabilize the build. This work improves developer productivity, enables end-to-end orbit fitting from Python, and lays groundwork for further feature extensions.
March 2025 - Smithsonian/layup: Delivered Python API exposure for Orbit Fit with robust C++/Python bindings, enabling a file-based orbit fitting workflow. Refactored OrbitfitResult and Observation bindings into dedicated modules, implemented formatting cleanup, and resolved critical import/dependency issues to stabilize the build. This work improves developer productivity, enables end-to-end orbit fitting from Python, and lays groundwork for further feature extensions.
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