Summary
Heidi Tebbe is a Senior Semantic Enrichment Specialist on a machine learning team with 11 years of experience turning messy text and metadata into discoverable knowledge using NLP, ML, and AI. She blends an unusual mix of librarian-trained taxonomy and controlled-vocabulary expertise with hands-on data work—Python, SQL, time-series analysis, and NLU—to augment indexing and drive subject-trend discovery. At EBSCO she has led generative AI prompt engineering and evaluation efforts while inventing processes to surface taxonomy additions from usage signals. Her background spans academic collection development, multimedia development, and even astronomy research, which informs a rigorous, research-driven approach to semantic systems. Based in the Raleigh-Durham area, she is a NASA Datanaut alumnus who thrives at the intersection of information science and applied machine learning.
11 years of coding experience
8 years of employment as a software developer
MA Astronomy, MA Astronomy at Indiana University Bloomington
University of Missouri