Summary
Geoff Boushey is a Data Science Specialist with 12+ years of experience designing cloud-based data pipelines and teaching researchers how to turn domain expertise into reproducible code. Based at UCSF, he builds AI-driven workflows that extract transcripts, annotations, and enriched metadata from video, audio, image, and text collections using Google Cloud AutoML, Vision, and Natural Language APIs. He also develops platforms for research sharing and automates reporting and patron-data processes, blending hands-on engineering (Python, Ruby on Rails) with library science needs. Geoff runs practical workshops and 1:1 consulting in Python, SQL, UNIX, APIs, and applied ML, helping non-programmers become productive analysts. His background in operations research and optimization at Sun, OutPerformance, and UC campuses gives him a rare mix of applied analytics, software development, and academic service. Colleagues rely on him not only for technical solutions but for mentoring and piloting novel AI+library integrations that surface value from messy multimedia collections.
12 years of coding experience
9 years of employment as a software developer
BA, Mathematics, BA, Mathematics at University of California, Santa Cruz, 1997
MS, Industrial Engineering and Operations Research, MS, Industrial Engineering and Operations Research at University of California, Berkeley, 2000
BA, English, BA, English at UC San Diego, 1994