Genevieve Peaslee is a Machine Learning Engineer based in Seattle with eight years of professional experience and a focused two years of hands-on Python and Java development in ML and NLP. She holds an M.S. in Computational Linguistics from the University of Washington and has moved models from research to product through successive data scientist roles at Lexion and now ML engineering at DocuSign. Her work emphasizes deep learning methods for natural language processing, informed by rigorous computational-linguistics training and practical production deployment. Beyond engineering, she brings uncommon domain breadth from a parallel career as a collaborative pianist, demonstrating discipline, pattern recognition, and collaborative communication. This combination of technical rigor and performance-level musicianship helps her tackle complex modeling problems with creativity and precision.
8 years of coding experience
4 years of employment as a software developer
M.S., Computational Linguistics, M.S., Computational Linguistics at University of Washington
Bachelor of Arts (B.A.), Honors Progam in Music (Piano Performance), magna cum laude, Bachelor of Arts (B.A.), Honors Progam in Music (Piano Performance), magna cum laude at Scripps College
Advanced Italian and music studies during semester abroad, Advanced Italian and music studies during semester abroad at Civica Scuola di Musica Claudio Abbado
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Genevieve Peaslee - Machine Learning Engineer at Columbia Choirs