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Connor White
Junior Machine Learning Engineer specializing in GPU-accelerated computer vision
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About
Robotics software lead from Texas A&M Aggie Robotics who built WoopLib, a SLAM-based vision/navigation library using PID pure pursuit. Has hands-on ROS/ROS2 and Jetson Nano experience integrating Intel RealSense (T265/D435i) with wheel odometry for accurate state estimation, including compiling deprecated sensor support from source and optimizing by moving to Python with C++ bindings and serial streaming to a microcontroller.
Experience
Education
Key Strengths
- Led design and development of a SLAM-based robotics library (WoopLib) for Aggie Robotics at Texas A&M
- Built localization pipeline fusing RealSense sensors (T265/D435i) with wheel odometry on Jetson Nano
- Handled deprecated/EOL dependency by compiling a supported T265 package from GitHub source
- Methodical debugging of 3D coordinate/axis discontinuities via isolation and incremental reintegration
- Strong focus on usability: produced documentation/resources to make robotics software approachable for newcomers
- Diagnosed and improved memory issues through better pointer usage and memory management
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