Scott Shambaugh is a founder and systems engineer with a decade of experience building guidance, navigation, and control (GNC) and propulsion systems for rockets and satellites, most recently leading ADCS and propulsion at Capella Space and founding a stealth space startup in Denver. He blends hands-on spacecraft hardware delivery—driving propulsion systems from kickoff to on-orbit within 1.5 years—with software tooling for orbit design, dynamic simulation, and control algorithms. Prior roles at ULA and Lockheed Martin underpin his expertise in multi-engine thrust-vector control, 6DOF simulations, and flight-proven launch software, while work on autonomous ground vehicles broadened his embedded and systems-software skillset. An active open-source Python contributor, he has improved core scientific libraries like SciPy and Matplotlib—adding rotation math, quaternion fixes, and 3D plotting features—demonstrating both numerical rigor and practical visualization chops. Collected across industry and academia, his record shows a knack for turning first-principles analysis into production-ready flight systems and developer tools.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS) Mechanical Engineering, Bachelor of Science (BS) Mechanical Engineering at University of Southern California
Master of Science (MS) Aeronautical and Astronautical Engineering, Master of Science (MS) Aeronautical and Astronautical Engineering at Purdue University
Contributions:177 reviews, 18 PRs, 296 comments in 4 years 5 months
Contributions summary:Scott primarily contributed to the `scipy/scipy` repository by adding documentation examples and enhancing the `Rotation` class. These enhancements included features like mapping the double coverage of rotation space and adding a power operator, while also fixing quaternion inversion. Further improvements included documentation updates and adding the `approx_equal` method. The user also contributed to the testing suite.
Contributions:275 reviews, 27 commits, 82 PRs in 10 months
Contributions summary:Scott primarily focused on enhancing the 3D plotting capabilities of the matplotlib library. Their contributions included adding a roll angle feature to 3D plots, which involved modifying core files such as `axes3d.py` and updating the gallery examples to showcase the new functionality. They also addressed existing issues and improved documentation. The user demonstrated a good understanding of the existing codebase, particularly in the areas of 3D visualization and plotting.
pythondata-sciencegtkdata-visualizationplotting
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