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greynewell/README.md

Grey Newell's GitHub Portfolio GitHub User's stars

ORCID AWS Machine Learning

Projects

  • Innovative integration of llama.cpp and JUCE to bring local AI models into music production software
  • Pushing the boundaries of AI in creative applications

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  • Enterprise-grade business event monitoring system providing near-real-time visibility into millions of events
  • Built with TypeScript and Node.js, showcasing best practices in AWS architecture

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  • A production-ready starter kit for Astro projects with built-in structured data and SEO optimization
  • Features schema-first development, Decap CMS integration, and accessibility-first design

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About Me

Visit greynewell.com to learn more about me and my work!

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  1. musegpt musegpt Public

    Local LLMs in your DAW!

    C++ 86 5

  2. aws-samples/sample-event-driven-resilience-observability-at-scale aws-samples/sample-event-driven-resilience-observability-at-scale Public

    Serverless event-driven architecture enabling engineering teams to process millions of daily events with near real-time visibility and strong resilience.

    TypeScript 5

  3. schema-driven-astro-starter schema-driven-astro-starter Public template

    Generated Astro site from graph schema defined in Decap CMS.

    Astro 8 1