Zach Osman is a GNC engineer and robotics-focused MS candidate at the University of Pennsylvania, blending nine years of engineering experience with hands-on research in perception, mapping, and control. He has applied deep learning and sensor fusion to forest 3D reconstruction and drone/LiDAR alignment (CVPR workshop co-author) and built reinforcement-learning navigation and service-robot systems at Tufts. Zach contributed backend improvements to the widely used archlinux/archinstall project, demonstrating practical Python systems work and a knack for robust tooling. His internship work spans satellite payload ML for outage prediction and full-stack enhancements for aircraft navigation, showing comfort across software and aerospace domains. Now at SpaceX, he is positioned at the intersection of ML, robotics, and guidance systems, aiming to translate novel research into operational capability. Outside work he pursues outdoor exploration and birding, a hobby that mirrors his empirical, data-driven curiosity.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering and Computer Science, Bachelor of Science - BS, Computer Engineering and Computer Science at Tufts University
High School Diploma, High School Diploma at Rutgers Preparatory School
Master of Science - MS, Robotics, Second Year, Master of Science - MS, Robotics, Second Year at University of Pennsylvania
Contributions summary:Zach primarily contributed to the Arch Linux installer, focusing on improving functionality and addressing existing issues. Their work involved modifying core Python scripts related to logging, user interaction, and service management. Key contributions include enabling multiple services to start at once, refactoring logging, and updating documentation, improving the robustness and usability of the installer.
Contributions:1 PR, 17 pushes, 1 branch in 2 years 6 months
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