Summary
Chris Curtis is a Sr. Manager specializing in ontology and data modeling with 11+ years of hands-on experience translating complex language, data, and systems problems into production solutions. Trained as a computational linguist (MS, University of Washington) and seasoned as a software architect, he blends NLP, semantic web, and formal methods to shape data-driven strategies and reusable models across federal and commercial domains. At Noblis he led health-innovation efforts in data architecture, big-data analytics, and NLP prototyping, and now applies that cross-disciplinary expertise to ontology work at Capital One. Known for mentoring teams and setting pragmatic development lifecycles, he pairs deep technical fluency across languages and platforms with the communication skills to bridge business and engineering stakeholders. A background in mission-critical systems (satellite planning, real-time defense software) informs his focus on robust, auditable designs rather than one-off fixes.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Computational Linguistics, Master of Science (MS), Computational Linguistics at University of Washington
BS, Computer Science, BS, Computer Science at Westminster College
English, German, French, Spanish