Sam Sarjant is a Senior Data Scientist with 12 years of experience translating complex scientific problems into production-ready machine learning solutions, currently advancing spectrometry-based soil and feed nutrient prediction at AgroCares in the Netherlands. He holds a PhD in Computer Science from the University of Waikato where he developed relational reinforcement learning algorithms and later as a postdoctoral researcher built large-scale ontologies from web text while lecturing in AI and game design. Sam’s background bridges core AI research and applied data science—he’s comfortable with both algorithm design and hands-on data engineering for spectroscopic pipelines. He has a track record of improving sensor-driven prediction systems and integrating knowledge-driven approaches into practical products, reflecting a blend of academic rigor and industry impact. An understated strength is his experience producing reusable knowledge-acquisition tooling and workflows that make complex models auditable and extensible.
12 years of coding experience
4 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at The University of Waikato
Contributions:89 commits, 50 pushes in 1 year 5 months
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