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wsxqaza12/README.md
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Hi πŸ‘‹, I'm ChiChieh Huang β€” passionate about building practical AI that bridges research and real-world impact.πŸ”₯ I believe passion and curiosity drive human progress.

I'm an AI engineer specializing in applied Large Language Models (LLM), Generative AI, and real-world machine learning systems. My work bridges research and production, building scalable and interpretable AI solutions.

πŸ›  Expertise

  • Large Language Models (LLM), Generative AI
  • Causal Inference, Marketing Mix Modeling (MMM), A/B Testing
  • Time Series Forecasting, Real-world ML Deployment
  • Full-Stack Development (Backend / Frontend / Cloud Infrastructure)

πŸ“’ Medium Articles β€” My Medium

πŸ“Š Data Visualization Projects β€” View here

πŸ“« Contact β€” cch.chichieh@gmail.com

πŸ“„ Resume β€” View Resume

Connect with me:

chichieh huang user4144i

Languages and Tools:

aws bash docker figma flask gcp git hive illustrator linux pandas photoshop postgresql python pytorch redis scikit_learn swift tensorflow

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  1. LLMAvatarTalk-An-Interactive-AI-Assistant LLMAvatarTalk-An-Interactive-AI-Assistant Public

    Harness the power of NVIDIA technologies and LangChain to create dynamic avatars from live speech, integrating RIVA ASR and TTS with Audio2Face for real-time, expressive digital interactions.

    Python 89 26

  2. RAG_example RAG_example Public

    Jupyter Notebook 43 11

  3. Comparison-of-LLM-Specifications Comparison-of-LLM-Specifications Public

    45 3

  4. RAG_LangChain_streamlit RAG_LangChain_streamlit Public

    Python 21 12

  5. GraphRAG-Visualization-Tutorial GraphRAG-Visualization-Tutorial Public

    GraphRAG indexed files & visual tutorials for cost-saving, quick start!

    Jupyter Notebook 34 5