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myeonghak/README.md

Myeonghak Lee

AI/Forward-Deployed Engineer @ Microsoft

I sit between what GenAI can do and what an enterprise will actually ship, closing that gap for customers working on their hardest, most frontier AI problems.

Before this, main engineer behind an AI outbound voice-call system at Toss that outperforms human sales agents: the first AI voice agent in Korea to do so, running at 100K calls/day. Also built production RAG + LLM fine-tuning systems at Hyundai Card.

Most interested in the part of the stack where a model's capability meets a real production constraint (latency budgets, trust, compliance) and someone has to make it actually work.

If there's one discipline I'd call my specialty, it's AI evaluation. In AI engineering, nothing else matters if you can't tell whether the model actually works.

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  1. DGL-tutorial DGL-tutorial Public

    그래프 딥러닝 라이브러리 DGL 쉽게 배우기

    Jupyter Notebook 66 9

  2. stock-news-summary stock-news-summary Public

    관심 주식 종목의 뉴스의 요약본을 메일로 전달하는 프로그램

    Jupyter Notebook 49 7

  3. kobert-multi-label-VOC-classifier kobert-multi-label-VOC-classifier Public

    pretrained kobert를 사용한 multi-label VOC(Voice of Customers) 태그 분류 모델

    Jupyter Notebook 16 7

  4. mlflow-rankfm mlflow-rankfm Public

    An example of MLflow Tracking and Models Using Factorization Machine Recommender model library, rankfm.

    Python 10 2

  5. Transformer-product-categorization Transformer-product-categorization Public

    트랜스포머 블록을 활용한 상품명 자연어처리 기반 카테고리 분류 모델

    Jupyter Notebook 10 1

  6. MAGNN_BERT MAGNN_BERT Public

    Improve MAGNN using pretrained distilBERT embedding

    Python 5 1