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Achievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pull Shark

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dxpawn/README.md

Hi 👋, I'm Dan Nguyen Vu

Someone goes wherever they wish,
yet discovers that vast as the world is,
there’s nowhere to belong.

Someone drifts through a sea of faces,
yet finds no harbor to anchor in.
They call it freedom,
only because they don’t want to say
it’s loneliness.

dxpawn

talononxanax

  • 🔭 I’m currently working on: graduating ASAP and making a significant career pivot.

  • 🌱 I’m currently learning: a LOT of things unrelated to my major. Including, but not limited to:

    • HSK4 (adaptive goal tbh)
    • 9.0 IELTS (currently 8.5, I want 9.0 by year-end)
    • Drawing!!! I wanna draw like Paroro, very cute artstyle
    • TESOL 120hr (or CELTA if I have the moolah to burn)
    • Economics (u can never have "too much" money)

  • ⚡ Fun fact: I should have gone to NEU

Connect with me:

talononxanax

dxpawn

 dxpawn

dxpawn

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  1. yammdd/GraphRAG-Chatbot yammdd/GraphRAG-Chatbot Public

    A GraphRAG-powered chatbot that builds a Neo4j knowledge graph from documents, including text, images, and tables, and uses LLM retrieval to answer questions with rich, structured context.

    Python 2 1

  2. yammdd/crypto-bigdata-project yammdd/crypto-bigdata-project Public

    A real-time and batch-based crypto analytics platform built with Lambda Architecture using Kafka, Spark, HDFS, HBase, MongoDB, OpenAI, and XGBoost - providing live short‑term predictions via Flask …

    Python

  3. LunarLander-v3 LunarLander-v3 Public archive

    Solving the LunarLander-v3 Environment: A 60-hour approach for the final term report in Foundation of Artificial Intelligence, VNU-UET (May 2025).

    Jupyter Notebook 3

  4. DangShark/AI_system_development DangShark/AI_system_development Public

    The system uses AI to recognize and compare faces in order to support the search for missing persons.

    Python

  5. MobileNetV2-Anime-Detection MobileNetV2-Anime-Detection Public archive

    [72hr Speedrun] Using DL to classify real anime images vs. AI-generated anime images, achieving 97.28% accuracy with attention-enhanced MobileNetV2. Submitted as my final term report in VNU-UET's M…

    Jupyter Notebook