Carter Brown is a Senior Computer Vision Engineer with 10 years of experience building production-grade vision and ML systems, currently architecting APIs that bring computer vision into the physical world at Kibsi. A physics-trained problem solver from Cornell with a CS minor, he blends theoretical rigor with pragmatic engineering—evidenced by research on RF fingerprinting and label-noise-robust CNNs and presentations at academic venues. His background spans startups and research labs, from co-founding a smart-camera app in the App Store to prototyping drone-based remote sensing and deploying ML pipelines for 3D-printing and wireless security applications. He excels at turning noisy, real-world signals into reliable models and production services, often bridging teams as an analytics director or technical lead. Based in Greater Sacramento, he pairs academic curiosity with hands-on product delivery and a track record of translating niche research (complex-valued equivariant networks, open-set recognition) into applied systems.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.), Physics; CS Minor, Bachelor of Arts (B.A.), Physics; CS Minor at Cornell University
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