Ryan O'shea
Autonomous Systems Engineer at The Johns Hopkins University Applied Physics Laboratory
Bethesda, Maryland, United States
Summary
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Senior🎓
Top SchoolRyan O'shea is an Autonomous Systems Engineer with a decade of experience designing and deploying computer vision, robotics, and ML systems for defense and research customers. Based at Johns Hopkins APL after leading a multi-disciplinary R&D lab at NAVAIR, he has managed teams, budgets, and over $1M in funded projects while delivering real-time tracking, pose estimation, and sensor-fused autonomy for fleet-relevant platforms. He combines hands-on C++, ROS, and embedded systems work with applied ML — from generating high-fidelity simulated training data to researching V&V techniques for out-of-distribution detection. His background includes building state estimation filters for underwater vehicles and integrating edge compute into operational systems, reflecting both low-level hardware chops and algorithmic depth. Known for turning simulation-driven prototypes into field-ready capabilities, he pairs rigorous academic training (Stevens, 3.92 GPA) with practical experience navigating program offices and international collaborations.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, 3.92/4.0, Bachelor of Engineering - BE, Computer Engineering, 3.92/4.0 at Stevens Institute of TechnologyHigh School, High School at Marine Academy of Technology and Environmental Science
Github Skills (11)
mining7
robotics5
robot4
python4
jetson3
calculator3
digit3
classifier2
raspberry-pi2
python-course2
machine-learning1
Programming languages (3)
Github contributions (5)
srclunabotics/SRC-Lunabotics-2020
Oct 2019 - Feb 2020
Team repository for Stevens Robotics Club for the 2020 NASA Lunabotics Mining Competition.
Contributions:30 commits in 3 months
roboticspythonminingnasarobotics-club
roshea6/QAM-CNN-Classifier
Apr 2019 - Apr 2019
Contributions:5 commits in 10 days
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