Fergus Fettes is a Senior Scientific Data Engineer with nine years of experience blending physics research, hardware-in-the-loop experimentation, and production software engineering for automation and ML-driven systems. Trained with an MSc in Physics and early hands-on work developing microscopy for DNA–protein studies, he transitioned into Python-led product engineering and DevOps, building scalable hybrid microservice architectures for ML deployments. His recent roles span vehicle automation and chemistry synthesis scale-up, reflecting a knack for moving research-grade tooling into reliable, production data pipelines. Comfortable across Python, SQL and cloud-native infrastructure, he has repeatedly bridged lab-grade biocompute constraints with practical engineering—hence his self-described bottlenecked-by-biocompute quip. Based in Glasgow, he combines scientific rigor with a pragmatic focus on deployable systems that accelerate experimental throughput.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree Natural Sciences, Bachelor's degree Natural Sciences at The Open University
Master of Science - MS Physics, Master of Science - MS Physics at Leipzig University
Contributions:104 pushes, 1 branch in 2 years 2 months
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