Summary
Christopher Cavnor is a Data Science and Data Engineering specialist with 11 years of experience building high-performance, scalable systems across public, private, and government domains. His background spans CEP and IMDG architectures that process millions of events per second, NoSQL and in-memory solutions, semantic web and machine learning pipelines, and reactive, functional application design. He brings a rare mix of hands-on software engineering (Java, RxJava, Go, Swift) and applied analytics, honed through roles at TIBCO, USCIS, and systems biology research where he combined semantic technologies, ETL and search to improve data findability. Armed with an MSIM from the University of Washington and current data science bootcamp training, he pairs formal information management expertise with practical performance optimization and security-cleared government experience. Christopher is equally comfortable prototyping rule/semantic systems and productionizing them for operational resilience, making him a strong bridge between research, engineering, and mission-critical deployments.
11 years of coding experience
14 years of employment as a software developer
University of Washington
New York University
Bachelor of Science, Bachelor of Science at East Stroudsburg University of Pennsylvania
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