Brandon Knight is a Data Scientist with 12 years of cross-disciplinary experience applying geospatial systems, statistical methods, and AI in highly regulated federal environments. At the IRS LB&I division he bridges policy, platform, and practitioner needs—driving AI/LLM adoption, open-source governance, and developer experience while authoring the agency's OSS guide and shipping a RAG proof-of-concept on regulated tax data. He previously modernized national health workforce designation systems at HRSA, built reusable validation tooling used across 54 jurisdictions, and improved geocoding precision from ZIP to address level. A long-running upstream open-source contributor and co-founder of MaptimeDC, he brings practical DevOps-for-data-science experience (Docker, Conda, GitHub Actions, Quarto) and helped enable conda-forge access through cybersecurity processes. Notably, his QA work on the widely used OpenAddresses project reflects a commitment to data quality that complements his policy-aware approach to deploying ML in production.
12 years of coding experience
18 years of employment as a software developer
MS, Biomedical Science, MS, Biomedical Science at Drexel University
BS, Biology, GPA 3.57 - Cum Laude, BS, Biology, GPA 3.57 - Cum Laude at George Mason University
A global repository of open address, building, and parcel data.
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:179 commits, 97 PRs, 91 pushes in 6 years 11 months
Contributions summary:Brandon primarily contributed to the quality assurance of the repository by writing and updating test cases within the `test/sources.js` file. They added tests for specific properties and attributes within the source data, such as `accuracy` and those related to licenses. These updates included fixing field access, correcting field names and addressing typos, and validating URL formats.
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