Kathryn Egan is a Senior Language Engineer based in Seattle with 13 years of technical experience and over six years focused on designing and implementing language understanding systems. At Amazon Music she progressed through three engineering levels to her current senior role, delivering NLP solutions that power music discovery and user interaction. Her background includes long-term clinical NLP work at Fred Hutch, where she combined data coordination with model development—bringing rigorous, domain-aware approaches to production pipelines. Kathryn pairs academic training from the University of Washington with hands-on product experience, and is known for translating clinical and user-facing language challenges into robust, scalable engineering solutions.
13 years of coding experience
10 years of employment as a software developer
Master of Science, Master of Science at University of Washington
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