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trying to figure out CS and SWE
🐏
trying to figure out CS and SWE

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r3v5/README.md

Hi 👋, I'm Ian Miller

Software Engineer Intern at Red Hat AI working on open source Agentic and AI Engineering tools for enterprises

At Red Hat AI, I build:
⚡ Red Hat OpenShift AI - enterprise-grade open source hybrid cloud platform built on Kubernetes to deploy open weight models and autonomous agents at scale
⚡ Open GenAI Stack (formerly Llama Stack originated at Meta) - open source vendor-neutral OpenAI-compatible agentic API server to build AI applications
⚡ Kagenti Operator - IBM and Red Hat open source Kubernetes operator that automates the deployment, discovery, and security of AI agents in Kubernetes clusters

Other open source contributions:
⚡ Garak - NVIDIA open source LLM vulnerability scanner
⚡ OpenShell - NVIDIA open source safe, private runtime for autonomous AI agents

Also, I'm a 3rd year student of Bachelor's degree in Computer Science at Technological University Dublin. I'm interested in Agentic AI, Gen AI, backend, Kubernetes, Cloud Computing, distributed systems and system design.

Languages and Tools:

Pinned Loading

  1. ogx ogx Public

    Forked from ogx-ai/ogx

    Open GenAI Stack

    Python

  2. odh-dashboard odh-dashboard Public

    Forked from opendatahub-io/odh-dashboard

    Dashboard for RedHat OpenShift AI / ODH

    TypeScript

  3. kagenti-operator kagenti-operator Public

    Forked from kagenti/kagenti-operator

    Kubernetes operator for deploying and lifecycle management of Agents and Tools

    Go

  4. kagenti kagenti Public

    Forked from kagenti/kagenti

    Main Kagenti repo - installer, UI and docs

    Python

  5. rag rag Public

    Forked from opendatahub-io/rag

    Jupyter Notebook

  6. Schimuneck/llamastack-rag-mcp-demo Schimuneck/llamastack-rag-mcp-demo Public

    Jupyter Notebook 2