- μμ°μ΄ μ²λ¦¬(NLP)μ λ°μ΄ν° λΆμμ κΈ°λ°μΌλ‘ κ°μΉ μλ κΈ°μ κ³Ό μ루μ μ κ°λ°νλ μμ§λμ΄μ λλ€.
- λ°μ΄ν° μ€μ¬μ λ¬Έμ ν΄κ²°μ μ¦κΈ°λ©°, μλ‘μ΄ κΈ°μ μ λ°°μ°κ³ μ μ©νλ λ° μ΄μ μ΄ μμ΅λλ€.
- π University: μμ£Όλνκ΅ μννΈμ¨μ΄νκ³Ό μ£Όμ 곡 & μΈκ³΅μ§λ₯νκ³Ό λ§μ΄ν¬λ‘μ 곡
- π Education: λ€μ΄λ² λΆμ€νΈμΊ ν AI Tech 7κΈ° μλ£ (2024.08 ~ 2025.02)
- πΌ Work Experience: TVING Data - AI&AX Team Intern (2025.05 ~ 2025.11)
- π§© Specialties: NLP, λ¨Έμ λ¬λ, λ°μ΄ν° λΆμ
- π¬ Focus Areas:
- μμ°μ΄ μ²λ¦¬(NLP)
- λ°μ΄ν° μ€μ¬μ λ¬Έμ ν΄κ²°
- Retrieval-Augmented Generation (RAG)
- π― Goal: NLPμ λ°μ΄ν° λΆμ κΈ°μ μ κ²°ν©νμ¬ μ€μ§μ μΈ μ±κ³Όλ₯Ό λ΄λ μμ§λμ΄λ‘ μ±μ₯
- LLM Application Development: Multi-agent LLM workflows, tool-driven orchestration, and prompt-based reasoning
- Retrieval Systems: Embedding-based retrieval, semantic search, ranking, and evaluation
- Recommender Systems: Content-based and embedding-driven recommendations leveraging metadata and similarity
- Applied NLP: Query understanding, multilingual text embeddings, semantic representation, and dataset annotation
- AI Infrastructure: AWS Athena, S3, Parquet-based data pipelines, metadata processing, and offline evaluations
- π§ Email: jeenie2727@naver.com
- π Blog: https://velog.io/@jeenie2727/posts
