Leah Johannesen is a seasoned software and machine learning engineer with a decade of experience building data-driven systems from prototype to production in the Bay Area. Currently at Tuition.io, she brings a strong ML pedigree from Aviso and hands-on data engineering and teaching experience from Galvanize, where she both built a convolutional neural net dog-breed classifier and instructed advanced ML courses. Her background in chemical and process engineering at Intel and Exide gives her a pragmatic, systems-oriented approach to model deployment and performance optimization. Leah excels at translating complex analytics into production software and has a track record of delivering cost-saving engineering improvements and scalable ML solutions.
10 years of coding experience
7 years of employment as a software developer
Data Science Immersive, Data Science Immersive at Galvanize - San Francisco, SoMa
Bachelors of Science Chemical Engineering, Bachelors of Science Chemical Engineering at University of Florida
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