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Achievement: Pair ExtraordinaireAchievement: Pull Shark

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BWAAEEEK/README.md

JOOHO LEE

graphs, models, and systems that should survive inspection.

About

I'm JooHo Lee (BWAAEEEK), an AI engineer and researcher working across language-model systems, graph learning, recommendation systems, and medical AI.

  • My work includes graph neural networks for forecasting and recommendation, representation learning with transformer-based models, and image-to-image translation for medical imaging.
  • I am currently focused on LLM systems: inference reliability, routing behavior, reasoning workflows, agent architecture, and evaluation loops.
  • I prefer systems that start from a clear problem definition and can be inspected, measured, and improved over time.

Open Source

Activity

Recent contribution activity

Snapshot

GitHub stats Most committed languages

Skills

Python PyTorch Hugging Face Graph Learning LLM Systems Medical AI

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Popular repositories Loading

  1. NeuroMarketing-with-GNN NeuroMarketing-with-GNN Public

    Graph neural network experiments for neuromarketing and behavior prediction.

    Python 2 1

  2. pheme_dataset_preprocessing pheme_dataset_preprocessing Public

    Preprocessing utilities for the PHEME rumor detection dataset.

    Jupyter Notebook 2

  3. Study Study Public

    Personal study notes and implementation practice.

  4. IMDB_Transformer_pytorch IMDB_Transformer_pytorch Public

    Transformer-based sentiment classification on the IMDB movie review dataset.

    Python

  5. BERT_pytorch BERT_pytorch Public

    Minimal PyTorch implementation and experiments with BERT-style language modeling.

    Python

  6. Blog_post_embedding Blog_post_embedding Public

    Data collection and semantic embedding experiments for blog post representation.

    Jupyter Notebook