Justin Vincent is a Member of Technical Staff with 13 years of experience building data infrastructure, backend systems, and ML tooling across startups and large tech firms. He has led data and logging infrastructure at Everyday Robots, shipped AI-powered analytics and pipelines at Google, and now works on technical challenges at Anthropic. Comfortable in C++ and Python, he’s contributed to scikit-learn fixes for Python 3 compatibility and metric test stability, reflecting hands-on care for production ML code. Justin blends systems-level engineering (payment fraud and analytics infra at Google) with product-driven leadership (human annotation and logs platforms), and he started his career building record-matching systems for major political tech efforts. Based in Dayton, Ohio, he’s not actively job-hunting but enjoys conversations about hard problems—especially climate tech.
13 years of coding experience
13 years of employment as a software developer
BS, BA, Computer Science, Mathematics, BS, BA, Computer Science, Mathematics at University of Washington
Contributions summary:Justin primarily contributed to fixing bugs and improving the existing code related to machine learning metrics, specifically focusing on Python 3 compatibility. They addressed issues in various tests related to metrics calculations and also updated the code to be compatible with Python 3 changes like `xrange` and `None` comparisons. The user also worked on fixing tests in the ensemble module. Additionally, the user made some doc tests work.
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Justin Vincent - Member Of Technical Staff at Anthropic