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EthanHNguyen/README.md

Ethan Nguyen

I build systems that translate frontier AI capability into trusted operational value.

I’m an AI/ML engineer at Google Public Sector working across infrastructure, evaluation, reliability, interfaces, and operational trust.

My current focus is frontier AI systems for high-trust operations.

Proof base

  • Google Public Sector — frontier AI systems for high-trust environments
  • Capital One — ML/cloud platforms used by thousands of practitioners
  • Vanderbilt — peer-reviewed ML research in computer vision and medical image analysis

Public builds

  • ATO Copilot — source-backed AI prototype for government authorization workflows.
  • RFP Map — mobile-first SAM.gov market intelligence radar.
  • Local AI Lab — local AI infrastructure lab for model serving, observability, and deployment experiments.
  • FieldDesk — offline-first field operations concept for high-trust mission workflows.
  • Personal site — project notes, writing, publications, and selected public builds.

What I care about

  • model capability becoming operational value
  • reliable AI systems under real constraints
  • evidence-native workflows for high-trust environments
  • evaluation, observability, and model-serving infrastructure
  • public-data interfaces for market and institutional sensemaking

Links

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  1. ato-copilot ato-copilot Public

    Source-backed AI prototype for government authorization workflows

    JavaScript

  2. rfp-map rfp-map Public

    Mobile-first SAM.gov market intelligence radar

    Python

  3. local-ai-lab local-ai-lab Public

    Local AI infrastructure lab for model serving, observability, and deployment experiments