Andrew C
Systems Engineer at Muon Space
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAndrew C is a systems engineer and robotics specialist with 14 years of experience bringing safety-critical autonomous systems from research to production. He has deep expertise in perception, state estimation, and multi-object tracking, and owned ML data pipelines and deployment for urban autonomous vehicles at Cruise. His background spans embedded autopilots and hardware integration—authoring flight control modules and GNSS message conversions for the PX4 Autopilot and building the autonomous medical delivery drone stack at Zipline. Comfortable across electrical design, SLAM in GPS-denied environments, and large-scale data infrastructures, he excels at stitching sensors, algorithms, and safety requirements into reliable real-world systems. Based in the San Francisco Bay Area, he pairs Carnegie Mellon robotics training with hands-on embedded and ML engineering. An underappreciated detail: he combines low-level flight control experience with high-level ML pipeline ownership, enabling rare end-to-end delivery of autonomous products.
14 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BS) Electrical and Electronics Engineering, Bachelor of Science (BS) Electrical and Electronics Engineering at University of Southern CaliforniaMaster of Science (MS) Robotics, Master of Science (MS) Robotics at Carnegie Mellon University
Github Skills (10)
c1710
uca10
embedded10
px410
c1110
sys10
autopilot10
mavlink8
ros6
python4
Programming languages (3)
Github contributions (5)
PX4/PX4-Autopilot
Jun 2014 - Jul 2014
PX4 Autopilot Software
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:10 commits in 24 days
Contributions summary:Andrew contributed significantly to the PX4 Autopilot software, primarily focusing on low-level systems and hardware integration. Their work involved modifying parameters related to fixed-wing attitude control and adding a module to convert GNSS messages from UAVCAN to uORB format, indicating an understanding of sensor integration and communication protocols. These changes demonstrate their hands-on engagement with flight control systems and their related data flows. The user also showed expertise in embedded systems and the ability to work with low-level data structures.
multicopteravoidancedroneuasraspberry-pi
yhexie/particle-filter-localization
Sep 2011 - Oct 2011
Contributions:42 commits in 21 days
particletranslationinternationalizationparticle-filterlocalization
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.