Joshua Potter is a Machine Learning Engineer with a decade of technical experience, focused on applying computer vision to improve agriculture and crop yields. He implements state-of-the-art vision models—from single-shot detectors to transformer architectures—and designs custom models and bespoke Linux-based field systems to meet real-world constraints. Comfortable across Python and C-family languages, he has hands-on experience with camera SDKs such as RealSense and DepthAI and operationalising vision pipelines on edge hardware. His career blends applied research and field deployment, moving prototypes into robust systems for companies like B-hive Innovations and Caterham School. Known for translating complex sensing requirements into pragmatic solutions, he also brings teaching and team leadership experience that helps bridge engineering and end-user needs.
10 years of coding experience
2 years of employment as a software developer
Masters , Computer Science, Masters , Computer Science at University of Lincoln
Contributions:26 commits, 25 pushes, 1 branch in 3 months
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Joshua Potter - Machine Learning Engineer at Caterham School