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  • Korea, Gyeonggi Province
  • 05:31 (UTC +09:00)

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Jaeuk-Han/README.md

About


About Me

Hello, I’m Jaeuk Han.
I am an undergraduate in the AI · Software Department at Gachon University and an undergraduate RA at the ISNLP Lab.
My interests include Natural Language Processing (NLP), Information Retrieval (IR), and Reinforcement Learning (RL), with a focus on reproducible experiments and practical system building.

RAG Systems: Korean-focused dual-encoder + reranker pipelines and evidence-grounded Q&A demos.

LLM Agents: Experiments combining LLM reasoning with RL training/evaluation in a Pokémon environment.

Data Engineering: End-to-end pipelines for crawling, parsing, unit/notation normalization, and metadata enrichment.

I’m also interested in how technology can support culture and education. For example, I structured historical manuscripts on Korean traditional liquors (886–1947) into a searchable knowledge base and built interactive demos based on it.
Long-term, I aim to bridge technology and culture as a researcher-developer, contributing to open source and sharing knowledge consistently (GitHub, Kaggle, blog).


Interests

  • Retrieval-Augmented Generation (RAG)
  • Retriever / Reranker
  • Reinforcement Learning (RL)

💼 Experience

  • Assistant Instructor, Taekwang High School - "4th Industrial Revolution & Mathematics" Club
    Delivered 8 sessions (3 hours each) on topics such as linear regression, deep learning, and Arduino. Created slides and hands-on notebooks.

  • Undergraduate Research Assistant (RA), ISNLP Lab - Gachon Univ.
    Developed RAG pipelines for competitions (dual encoder, reranker, evaluation automation), conducted MNR/GRPO experiments, and prepared seminar materials.


🗂️ Featured Projects

  • taekwang-ai-lectures-2024 - Public archive of high-school AI teaching materials (slides/notebooks).

  • Korean Traditional Liquor RAG - Structured late-19th–20th century manuscripts on traditional liquors and built an evidence-grounded Q&A demo. 🍶

  • law-demand-dashboard - Matches topic-clustered news/SNS to relevant bills and visualizes results as a static leaderboard.

  • poke-llm - LLM agent for Pokémon Showdown; dual-embedding + RL experiments (in progress).

For more projects, please check my full repositories list.


What I Use

Languages

Frameworks & Libraries

Tools

Pinned 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. 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

  3. Korean_QA_RAG_2025 Korean_QA_RAG_2025 Public

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

    Python

  4. law-demand-dashboard law-demand-dashboard Public

    Topic-labeled news/SNS are matched to Korean legislative bills using Qwen3-Embedding-8B (LoRA-fine-tuned); major bills are selected per topic and presented as a static HTML leaderboard.

    Python

  5. poke-llm poke-llm Public

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

    Python

  6. taekwang-ai-lectures-2024 taekwang-ai-lectures-2024 Public

    Educational materials from the AI & Robotics Workshop Series conducted at Taekwang High School’s “Fourth Industrial Revolution and Mathematics” club in 2024. The 8-session course (May–October, 3 ho…

    Jupyter Notebook