Cody Kingham is a Principal AI Scientist with a decade of experience building agentic AI systems, NLP pipelines, and ontology-driven entity resolution for enterprise and medical applications. Trained originally in Cognitive Linguistics and Classical Languages (Ancient Greek and Hebrew), he blends deep humanities scholarship with rigorous computational linguistics and machine learning practice. At Oracle he engineered production-ready agent workflows and contributed core components to Fusion Agent Studio; currently he leads autonomous medical coding work that pairs multi-agent orchestration with finely tuned knowledge bases and HITL verification. Cody is hands-on across the full lifecycle—data ingestion, model fine-tuning, evaluation, and deployment—while emphasizing clean object-oriented design and reproducible research. An underappreciated strength is his ability to translate linguistic annotation methods developed for ancient texts into scalable solutions for modern clinical semantics.
10 years of coding experience
8 years of employment as a software developer
MA, Digital Humanities, Cum Laude (highest distinction), MA, Digital Humanities, Cum Laude (highest distinction) at Vrije Universiteit Amsterdam (VU Amsterdam)
Doctor of Philosophy - PhD, Classical Hebrew, Doctor of Philosophy - PhD, Classical Hebrew at University of Cambridge
Bachelor of Arts - BA, Biblical Studies (Ancient Hebrew and Greek), Cum Laude, Bachelor of Arts - BA, Biblical Studies (Ancient Hebrew and Greek), Cum Laude at Louisiana College
MA, Old Testament (Hebrew language), 3.9 of 4, MA, Old Testament (Hebrew language), 3.9 of 4 at Southeastern Baptist Theological Seminary
Unsupervised clustering of nouns in the Hebrew Bible
Contributions:3 releases, 53 pushes, 5 branches in 2 years 4 months
nlpbiblenounsunsupervisedhebrew
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