Brandon Knight

Data Scientist | Gen AI | DevOps | Open Source

About

Data Scientist at the Internal Revenue Service with 15+ years of experience driving innovation at the intersection of artificial intelligence, open-source software, and DevOps automation. Passionate advocate for open government, transparency, and collaborative technology solutions that advance public service missions.

Currently leading large language model (LLM) initiatives and data science standardization efforts, with focus on building reproducible, automated workflows using modern DevOps practices. Active contributor to open-source governance, technical documentation, and developer experience programs that empower federal technologists.

Technical expertise spans generative AI, infrastructure-as-code, containerization (Docker), Python/R automation, and geospatial analysis. Published researcher in environmental health and co-founder of MaptimeDC, Washington DCā€™s mapping and cartography community. Active OpenStreetMap contributor committed to open data and civic engagement.

Career Highlights

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Generative AI & LLMs

  • Leading enterprise LLM initiatives with RAG systems for compliance use cases
  • Experimenting with containerized AI workloads on GPU infrastructure
  • Building NLP-powered document analysis and classification systems
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DevOps & Automation

  • Creating GitHub Actions workflows for CI/CD pipelines
  • Designing reusable project templates and scaffolding tools
  • Streamlining development environments with infrastructure-as-code
  • Leveraging AI-assisted coding workflows (vibe coding and spec-driven development)
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Open Source & Civic Tech

  • Contributing to open-source software governance in federal government
  • Building developer documentation and collaboration platforms
  • Co-founder of MaptimeDC and active OpenStreetMap contributor
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Data Engineering

  • Architecting data pipelines and analytics platforms
  • Working with Python, R, SQL, and modern cloud infrastructure
  • Modernizing geospatial data workflows with parallel processing
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Analytics & Visualization

  • Building interactive dashboards and web applications
  • Creating automated reporting systems with Quarto and R Markdown
  • Working with Tableau, PowerBI, and R/Shiny

Technical Expertise

Python R SQL LLMs & Gen AI NLP & ML Docker GitHub Actions R/Shiny Quarto Tableau PowerBI ArcGIS QGIS OpenStreetMap Statistical Modeling

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