Phillip Schmidt is a Computer Vision Systems Engineer with nine years of experience building embedded perception and sensor-fusion solutions for robotics and mobile platforms. He helped design hardware inference engines and led sensor fusion for visual localization at Intel, was a key contributor to the RealSense Tracking Camera T265, and now applies that expertise at Qualcomm. His open-source contributions to the widely used Intel RealSense SDK include refactoring and extending wheel odometry support and adding tooling and tests, reflecting a pragmatic focus on reliable, production-ready systems. With roots in mechatronics and prior research on image-based control for space robotics, he blends low-level embedded work with higher-level ML and SLAM algorithms. Colleagues describe him as someone who turns "sand"—raw sensor data—into actionable value through careful systems engineering.
9 years of coding experience
9 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Dipl.-Ing., Automation Technology in Production (Mechatronics), 1,3, Dipl.-Ing., Automation Technology in Production (Mechatronics), 1,3 at University of Stuttgart
Contributions:29 commits, 18 PRs, 28 comments in 7 months
Contributions summary:Phillip primarily focused on enhancing the wheel odometry functionality within the RealSense SDK. Their contributions involved renaming and refactoring the wheel odometry API, modifying relevant files in the `librealsense2`, `libtm`, and `tm2` directories to accommodate these changes, and updating corresponding C# and Python wrappers. They also added a simple recorder tool. Additionally, they developed a unit test for the wheel odometry feature.
Contributions:1 release, 16 commits, 1 PR in 1 year 2 months
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Phillip Schmidt - Computer Vision Systems Engineer at Qualcomm