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  • Korea, Gyeonggi Province
  • 12:36 (UTC +09:00)

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Jaeuk-Han/README.md

About


About Me

Hello! My name is Jaeuk Han, an undergraduate student at Gachon University majoring in AI and Software.
I am passionate about Natural Language Processing (NLP), Information Retrieval, and Reinforcement Learning.

I enjoy exploring how language technologies can be applied to both academic and real-world problems.
In particular, I am working on projects such as:

  • Retrieval-Augmented Generation (RAG) systems for Korean language tasks
  • Pokémon-themed AI agents that combine LLMs with reinforcement learning environments
  • Data collection and preprocessing pipelines using crawling, parsing, and dataset building

Beyond technical skills, I am also interested in how AI can support cultural and creative fields.
For example, I have built datasets around traditional Korean brewing culture and used them to design
interactive demos for educational and research purposes.

My long-term goal is to become a researcher and developer who bridges technology and culture,
contributes to open-source communities, and continuously shares knowledge through GitHub, Kaggle, and blogging.

What I Use

Languages

Frameworks & Libraries

Tools

Popular repositories Loading

  1. Jaeuk-Han.github.io Jaeuk-Han.github.io Public

    A personal devlog documenting my journey in Natural Language Processing (NLP) and machine learning projects. Includes hands-on experiments, competition experiences, and personal project implementat…

    SCSS

  2. Giscus Giscus Public

  3. Kaggle Kaggle Public

    Repository for storing Kaggle competition notebooks and experiments. Includes exploratory data analysis (EDA), model training, and solution attempts.

    Jupyter Notebook

  4. Korean_QA_RAG_2025 Korean_QA_RAG_2025 Public

    Korean Grammar QA RAG system with Dual Encoder and GRPO reinforcement learning

    Python

  5. korean-traditional-liquor-dataset korean-traditional-liquor-dataset Public

    Korean Traditional Liquor Dataset (한국 전통주, Sool/술) — curated from historical brewing texts, including ingredients, steps, and yields. Data is parsed, normalized, and enriched with derived features …

    Python

  6. poke-llm poke-llm Public

    Pokémon battle agent using LLM with poke-env, planned to extend with reinforcement learning.

    Python