Aaron Novstrup is an AI software engineer and researcher with 15 years of experience building practical AI systems in information extraction, decision support, and knowledge representation. Based in Seattle and currently at Stottler Henke, he combines graduate-level AI coursework from UCLA with a strong applied math foundation from UC Berkeley to bridge research and production software. He specializes in NLP, machine learning, and planning, and has a track record of shipping robust back-end improvements—evidenced by contributions to the Unison programming language where he refactored core functionality and added new developer-facing commands. Comfortable across research and engineering, he favors clear, maintainable systems that make complex AI behaviors auditable and useful in real-world decision contexts.
15 years of coding experience
A.B., Applied Mathematics, A.B., Applied Mathematics at University of California, Berkeley
Contributions:27 commits, 13 PRs, 3 pushes in 2 months
Contributions summary:Aaron primarily focused on refactoring and enhancing the Unison programming language's core functionality. They removed an alias for a command, altered the output display behavior, and replaced the `case .. of` syntax with `match .. with`. Additionally, the user implemented new commands, such as "load" and "add.preview", improving the codebase's overall usability and features. The user also made improvements to the project's internal structure by correcting the annotation of match case bodies.
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Aaron Novstrup - AI Software Engineer at Stottler Henke