Jeff Kayne is a Co-Founder and engineer with ~8 years building and scaling AI solutions across industries, currently focused on product analytics and AI agents through Trubrics. He combines hands-on machine learning and MLOps experience—from propensity and time-series modeling to graph analysis and NER—with practical cloud and CI/CD engineering (Azure, GCP, MLflow, Kedro). Previously a senior ML engineer and data scientist at Artefact, he shipped data-driven products for retail and marketing while implementing model versioning and pipeline orchestration. His early mechatronics work at Qualcomm, developing sub-centimeter indoor positioning systems, reflects a strong foundation in systems engineering and experimental validation. Based in the UK, he blends startup grit with research-informed engineering and a penchant for building observability-first tooling for AI applications.
7 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng Integrated Mechanical and Electrical Engineering, Master of Engineering - MEng Integrated Mechanical and Electrical Engineering at University of Bath
Contributions:7 reviews, 17 PRs, 46 pushes in 7 months
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