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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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JoKerDii/README.md

Hi there 👋

I'm Di Zhen, born and raised in China. I went to Harvard University in Boston for higher education and have now landed in New York City for professional development in finance.

  • 🎯 Life Mission: To anchor every action, project, and role in a deep commitment to serving and uplifting people.
  • 🔭 Currently focusing on Digital Behavior Analysis and AI Agent Development.
  • 🌱 Learning Claude Code while brainstorming use cases.
  • 🤔 Thinking about psychology, strategy, and innovations.
  • 📚 Working on becoming more organized in readings - tracked here and there. My book list for 2026:
    • Give and Take (completed)
    • Getting to Yes (completed)
    • Mindset (completed)
    • The Big Book of Neuro Linguistic Programming (on it!)
    • On the Edge, The Art of Risking Everything
    • Careless People
    • Factfulness
    • Noise: A Flaw in Human Judgment
    • The Hard Thing About Hard Things
    • Principles: Life and Work
  • ⚡ Fun fact:
    • Senior manager of bipolar II, anxiety, and panic disorder for years.
    • Amateur hip-hop and house freestyle dancer.
    • My Christian spiritual birthday was in May 2026.

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  1. runawayhorse001/GenAI_Best_Practices runawayhorse001/GenAI_Best_Practices Public

    Gen AI: Best Practices

    5

  2. ai-consultation-assistant ai-consultation-assistant Public

    Full-stack AI healthcare assistant with LLM streaming, secure auth, and cloud deployment.

    TypeScript

  3. knowledge-management-chatbot knowledge-management-chatbot Public

    A personal knowledge management chatbot for efficient retrieval of information from a custom knowledge base.

    Python

  4. ai_agent_tools ai_agent_tools Public

    Developing personal AI Agent Tools with CrewAI

    Python

  5. amazon-product-price-predictor amazon-product-price-predictor Public

    Fine-tuned Llama 3.1 with QLoRA for predicting Amazon product price based on product description, achieving high accuracy compared to traditional MLs, OpenAI LLM, and pre-trained Llama 3.1

    Jupyter Notebook

  6. rag-streamlit-app rag-streamlit-app Public

    Implemented Simple RAG, GraphRAG (Neo4j), AdaptiveRAG (LangGraph), RAG with Reranking (Cohere) in Streamlit app for information summarization

    Python 1