J Heiser is a software engineer based in Berkeley with 12 years of experience building data-driven tools and full-stack applications, currently contributing to OS stability pipelines and internal dashboards at Apple. He blends user-centered design with strong information-organization instincts, having led scalable open-data infrastructure for the City of San Francisco and built NLP-enabled research tools at UC Berkeley. Comfortable across the stack—from Python and SQL to Ruby on Rails—he focuses on measurable quality, reliability, and usability in production systems. Heiser thrives in collaborative, multidisciplinary teams and has a track record of translating user research into practical data services and analytics. An understated strength is his background in political data systems and voter-data QA, which informs a disciplined approach to data integrity and auditability.
12 years of coding experience
12 years of employment as a software developer
Master's of Information Management and Systems (MIMS) School of Information, Master's of Information Management and Systems (MIMS) School of Information at University of California, Berkeley
Computer Science, Computer Science at City College of San Francisco
Contributions:9 commits, 8 pushes, 1 branch in 5 months
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