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thossullivan/README.md

Tom Sullivan

I build systems that must be right.

Fifteen years turning enterprise data and AI from strategy into shipped, governed systems, across financial services, insurance, and life sciences.

Built

  • model-eol: A machine-readable deprecation feed format for AI models, and the zero-dependency Dependabot-for-models that runs on it. npx model-eol . --days 90
  • adaptive-academy: A local-first learning app. The tutor won't give you the answer until you've tried.

Contributed

Led

  • 75+ engineers led across enterprise teams
  • $317MM+ realized and projected value: $52MM realized cost avoidance + $265MM projected 3-year profit from ML
  • 1.1M documents a year processed at 80% lower cost

Writing

tomsullivan.dev · LinkedIn

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  1. model-eol model-eol Public

    A machine-readable deprecation feed format for AI models - and the zero-dependency Dependabot-for-models that runs on it

    JavaScript 1

  2. adaptive-academy adaptive-academy Public

    A local-first learning app. The tutor won't give you the answer until you've tried.

    Python

  3. NVIDIA-NeMo/Switchyard NVIDIA-NeMo/Switchyard Public

    Switchyard lets LLM applications route traffic across models and providers while preserving native OpenAI and Anthropic API compatibility - enabling flexible model selection, benchmarking, and cost…

    Rust 3.5k 361

  4. zenml-io/kitaru zenml-io/kitaru Public

    Instill trust in your agent evals.

    Python 318 31