
Worked on the Smithsonian/layup repository over three months, focusing on cross-language integration and core library enhancements in C++, Python, and CMake. Delivered a Python API for orbit fitting by refactoring C++/Python bindings and resolving dependency issues, enabling file-based workflows and improving maintainability. Developed a Prediction API with batch processing and NumPy-to-Eigen conversion utilities, modularizing prediction logic for scalable inference. Integrated an autodiff library as a git submodule, establishing automated test coverage and repeatable builds. Emphasized code organization, dependency management, and robust build systems, laying a foundation for future extensibility and reducing integration risk across the project’s evolving architecture.
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.

Overview of all repositories you've contributed to across your timeline