Richard Hayes is a Lead AI Engineer and founder with 11 years' experience building production-grade AI, cloud and data platforms across biotech, healthcare, fintech and astronomy. He designs scalable systems—from a high-throughput genomic platform for antibiotic discovery to an in-memory LLM RAG for document parsing—and brings hands-on expertise in Python, AWS, Docker and large-scale parallel processing. As Head of Engineering at a surgical AI startup he integrated safety-critical computer vision into clinical workflows, and his open-source Bayesian tools developed with Durham University have supported high-profile astrophysics research. Known for mentoring teams and translating research into products, he combines a physicist’s analytical rigor with entrepreneurial pragmatism and a curiosity for music, art and personal AI projects.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Physics, First Class, Master's degree, Physics, First Class at University of Nottingham
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Richard Hayes - Lead AI Engineer at RGH SOFTWARE LTD