Andrew Herrold is an AI Frameworks Engineer at Intel with a decade of hands-on experience building developer-facing AI tooling for robotics and edge devices. He blends practical software engineering with developer advocacy, having enabled computer vision projects through OpenVINO and the Neural Compute Stick while also contributing core features to Movidius example repos. Based in Tempe, Arizona, he started in campus tech support and grew into roles that span full-stack development, kernel-level optimizations for inference, and developer education. His work focuses on making advanced learning systems accessible to engineers building autonomous systems at the edge. Notably, his open-source commits to video_face_matcher and driving_pi_redux demonstrate both visual application expertise and system-level integrations. He holds a B.S. in Computer Science from Arizona State University and brings a pragmatic, build-first approach to production AI on constrained hardware.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Arizona State University
Contains examples for the Movidius Neural Compute Stick.
Role in this project:
Full-stack Developer
Contributions:60 commits, 21 PRs, 11 pushes in 11 months
Contributions summary:Andrew's commits primarily involve modifications to the `video_face_matcher.py` file, suggesting work on the application's core functionality. These changes include updating dependencies, and implementing new features. The user also contributed to the `driving_pi_redux` branch, which indicates a broader contribution to the project. These changes highlight the user's role in both the application's visual and functional aspects.
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Andrew Herrold - AI Frameworks Engineer at Intel Corporation