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jdelles/README.md

I work in AI platform engineering — model serving, MLOps, Kubernetes-native ML infrastructure.

Outside work I'm running a home lab: local inference, fine-tuning experiments, agentic workflows — a place to run things I can't fully explore in production. I'm also going deeper on ML fundamentals and AI systems through ai-ml-learning and ai-infra-learning, mostly notes and experiments as I work through things more rigorously.

Stack: Python · Go · Kubernetes · Docker · AWS · Terraform
Connect: LinkedIn · Bluesky

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  1. ai-home-lab ai-home-lab Public

    Shell

  2. meal-planner meal-planner Public

    Weekly meal planner + grocery lists powered by local AI

    Python

  3. currentz currentz Public

    Personal finance application focused on household cashflow.

    Go

  4. AIAgent AIAgent Public

    Python

  5. ai-infra-learning ai-infra-learning Public

    AI infrastructure course of study

    Go

  6. ai-ml-learning ai-ml-learning Public

    AI/ML Fundamentals Course of Study