Rad AI
Fletcher Easton is an accomplished software engineer with extensive experience in platform engineering, data science, and automation. Currently serving as an L5 Software Engineer at Rad AI, Fletcher previously held the position of Technical Lead at ROSALIND, overseeing the development of platform architecture and leading teams through significant certifications such as the FedRAMP Moderate status. With a foundation in automation engineering at the California Strawberry Commission, and co-founding roles like CTO at Grove Mental Health, Fletcher has demonstrated expertise in REST API development, machine vision systems, and high-performance computing. Fletcher holds a Bachelor of Science degree in Computer Software Engineering from California Polytechnic State University-San Luis Obispo.
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Rad AI
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Rad AI is on a mission to improve patient outcomes and access to quality healthcare by applying state-of-the-art artificial intelligence to radiology, a critical part of medical diagnosis and treatment. Designed by radiologists and for radiologists, our products make life better for both radiologists themselves and the patients they serve.