Rafid A is a seasoned software engineer with about 12 years of professional experience and nearly two decades of hands-on development across systems-level C++ work, distributed cloud services, and deep learning for NLP and multimodal models. Currently an Applied AI engineer at Cohere, he previously led design and launch efforts for Amazon MWAA, owning data plane architecture, automated region builds, and a pioneering code-driven operations plane that scaled the service rapidly. He combines low-level compiler and performance expertise with production ML and large language model experience, and has published research on vision-language shopping assistants for Alexa. Proficient in C/C++, Python, Java, C#, TypeScript and Go, Rafid is also an active open-source contributor and has a track record of turning experimental research into customer-facing services at cloud scale. Based in Surrey, BC, he blends academic rigor (MPhil in Computer Science) with pragmatic system design that emphasizes automation, observability, and reliability.
12 years of coding experience
18 years of employment as a software developer
Master of Philosophy (MPhil) Computer Science, Master of Philosophy (MPhil) Computer Science at Newcastle University
Bachelor of Science (B.Sc.) Computer Engineering, Bachelor of Science (B.Sc.) Computer Engineering at Jami'at Baghdad
Contributions:9 releases, 33 pushes, 3 branches in 2 years 6 months
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Rafid A - Member Of Technical Staff, Applied AI at Cohere