Chris Smith is a computer vision engineer and builder with 11 years of cross-disciplinary experience marrying hardware, embedded systems, and production ML—currently shipping real-time multi-camera, 60fps CV systems for sports on Jetson and NVIDIA cloud GPUs. He thrives in startups, having founded hardware and VR companies, led developer advocacy programs that drove viral technical content, and helped scale sales engineering at high-growth SaaS companies. Comfortable from FPGA and LabVIEW prototypes to TensorRT-optimized inference pipelines, he excels at turning ambiguous problems into deployable systems and repeatable processes. Known for clear technical communication and practical diagrams, Chris often bridges engineering, product, and go-to-market teams to accelerate adoption. He’s as likely to sketch an architecture on a whiteboard as he is to tune an RT-DETR model or automate edge deployments.
11 years of coding experience
15 years of employment as a software developer
BS, Mechanical Engineering, BS, Mechanical Engineering at University of Tennessee, Knoxville
Sourcegraph blog, feature announcements, and website (about.sourcegraph.com)
Contributions:1 push in 2 years 4 months
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