Summary
Kimberly Garmoe is an information architect and technical writer with 11 years of experience designing documentation and knowledge systems for security-sensitive domains like cryptography, identity, payments, and cloud operations. She blends MLIS-trained taxonomy and content governance expertise with hands-on work in ontology, retrieval, knowledge graphs, and RAG to make documentation act as resilient infrastructure for AI systems. At AWS and prior roles she owned large, high-assurance documentation sets, led migrations and IA redesigns, and built editorial and AI-assisted workflows that preserved technical correctness at scale. Comfortable collaborating across engineering, product, and UX, she reduces adoption friction by turning complex operational processes into clear, task-oriented guidance. Based in Seattle, she’s motivated by long-term maintainability and the structures that let AI retrieve, reason over, and use institutional knowledge reliably.
11 years of coding experience
1 year of employment as a software developer
Full Stack Developer, Computer Science, Full Stack Developer, Computer Science at Coding Dojo
Bachelor of Arts (B.A.), History, Bachelor of Arts (B.A.), History at Seattle University
Master of Library & Information Science (MLIS), Social science research, user services, and information organization., Master of Library & Information Science (MLIS), Social science research, user services, and information organization. at The University of British Columbia
MA, CPhil(ABD), European History, MA, CPhil(ABD), European History at University of California, Los Angeles
German, python, javascript, ruby