Samuel Failor
Senior Machine Learning Engineer at Clavata
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSamuel Failor is a Senior Machine Learning Engineer with a decade of experience bridging academic neuroscience and applied data science. After nearly a decade as a Research Fellow at UCL’s Cortex Lab studying how learning reshapes visual cortical representations, he transitioned into industry roles applying ML and LLM frameworks to real-world problems, from regulatory monitoring for the Gambling Commission to policy analytics for Verian. Based in Cambridge, he combines deep experimental expertise (PhD in Neuroscience) with recent intensive industry training in modern ML, databases, web apps, and LLMs. Known for turning complex neural-data insights into production-ready pipelines, he brings both rigorous scientific thinking and practical engineering to teams building data-driven products.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at University of California, DavisUniversity of California San Diego
Github Skills (22)
wsl27
neuroscience7
rest-api6
microscopy6
robust6
statistics6
python6
imaging6
django6
matplotlib6
database5
pandas5
electrophysiology5
windows5
signal-processing5
Programming languages (5)
Github contributions (5)
sfailor/key-point-finder
Apr 2023 - Dec 2024
Contributions:1 release, 5 pushes, 1 branch in 1 year 8 months
sfailor/srt4s2p
Apr 2023 - Dec 2024
Contributions:14 pushes, 1 branch in 1 year 8 months
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