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MingCHEN-Github/README.md

Hi, I'm Ming Chen

AI systems engineer and distributed-systems researcher.

  • Building reliable AI workflows, RAG systems, and multi-agent evaluation tools
  • Working with Python, Kubernetes, Docker, Linux, and machine-learning systems
  • Researching cloud-edge microservices, telemetry-driven scaling, and resource management
  • Interested in reliable AI automation, observability, and practical distributed systems

Melbourne, Australia

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  1. TraDE TraDE Public

    TraDE: Network and Traffic-aware Adaptive Scheduling for Microservices Under Dynamics

    Jupyter Notebook 3

  2. AgentFAIR AgentFAIR Public

    Python

  3. Cloudslab/iDynamics Cloudslab/iDynamics Public

    A Configurable Emulation Framework for evaluating Microservice Scheduling Policies under Controllable Cloud–Edge Dynamics

    Jupyter Notebook 4

  4. Cloudslab/TraDE Cloudslab/TraDE Public

    Network and Traffic-aware Adaptive Scheduling for Microservices Under Dynamics

    Jupyter Notebook 2

  5. system-design-notes system-design-notes Public

    Forked from liquidslr/system-design-notes

    Notes of the book System Desgin Interview - An Insider's Guide

  6. AI-Research-SKILLs AI-Research-SKILLs Public

    Forked from Orchestra-Research/AI-Research-SKILLs

    Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…

    TeX