Summary
Adam Johnson is a robotics engineer with nine years of hands-on experience building perception, localization, and embedded systems for real-world robots. He has applied SLAM, ROS2, and GTSAM for stereo-camera and fiducial-based localization, led LiDAR perception and deep learning integration for high-speed autonomous platforms, and developed drivers and calibration tools for custom hardware. A strong educator and collaborator, he has served as a teaching assistant in computer vision and circuits and has bridged research and industry work at Carnegie Mellon, Gecko Robotics, and a stealth AI startup. Curious by nature, Adam combines low-level hardware tinkering (Arduinos, FPGAs, circuits) with production-grade software, and he brings a track record of turning messy, feature-poor sensor data into reliable mappings and detections.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, GPA: 3.83, Bachelor of Science - BS, Computer Engineering, GPA: 3.83 at University of Pittsburgh Swanson School of Engineering
Master of Science - MS, Computer Engineering, 3.94, Master of Science - MS, Computer Engineering, 3.94 at Carnegie Mellon University
Vincentian Academy