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Hello, I'm chanmuzi ☺️
I'm a super passionate AI researcher/engineer from Korea 🇰🇷


About me

  • 🧑🏻‍💻 [Upstage] AI Research Engineer (2024.05 ~ Present)
  • 🔎 [LILAB] NLP Research Intern, Chung Ang University (2024.01 ~ 2024.04)
  • 🤖 [DIYA] 5th member of NLP team of AI Society (2023.01 ~ Present)
  • 💼 [Dacon] Data Science Team manager (2023.05 ~ 2023.12)
  • 🏕️ [Google] Machine Learning Bootcamp 4th (2023.09 ~ 2023.11)
  • 🌏 [OSSCA] Open Source Contribution Academy, PyTorch and PyTorch Lightning mentee (2023.07 ~ 2023.10)
  • 🧑🏻‍💻 [Boostcamp AI Tech] 4th NLP track completion (2022.09 ~ 2023.02)
  • 🎓 [University of Seoul] Bachelor of Arts in English Language and Literature (2022.08)
  • ❤️ I love NLP, especially (s)LLM.
  • 📫 How to reach me: chanmuzi@naver.com

My projects

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  1. RAG-based Law Specialized Chatbot Model / Chung Ang University - Mar. 2024 ~ April. 2024
  • Establishing baselines for instruction tuning of LLMs
  • Researching evaluation methodologies for LLMs

  1. Development of Educational Chatbot Services Using LLM / Dacon - Oct. 2023 ~ Dec. 2023
  • Leading the integration of chatbots in machine learning educational content
  • Creating AI services for quantitative assessments adn qualitative feedback, incorporating API-based solutions

  1. AI vs. Human Text Discrmination Competition Design & Management / Dacon - Sep. 2023 ~ Nov. 2023
  • Initiated and managed a competition on AI-generated content detection using the OpenAI API
  • Crafted a novel dataset by modifying colloquial Twitter texts for diverse epressions
  • Established a baseline and explored various solution strategies

  1. Visual Question Answering (VQA) / Dacon - Jun. 2023 ~ Aug. 2023
  • Orchestrated a VQA competition, handling dataset preprocessing and competition structuring
  • multi-modal task, accuracy metric
  • Reviewed and verified competition methodologies and outcomes, ensuring fairness and data integrity

  1. Document Visual Question Answering (DocVQA) - Dec. 2022 ~ Feb. 2023
  • Collaborated in a corporate-linked project with UpStage
  • Addressed the challenge of aligning visual (bbox) and linguistic information (text) in DocVQA tasks
  • Developed attention maps to visually represent model focus areas, addressing weakness in diagram and figure interpretation

In addition to the above list, I have also undertaken the following NLP tasks:

  • ChatGPT Prompt Engineering Competition - Apr. 2023
  • Open Domain Question Answering (ODQA) - Dec. 2022
  • building a Korean Law Dataset for Relation Extraction - Nov. 2022
  • Relation Extraction (RE) - Oct. 2022
  • Semantic Text Similarity (STS) - Oct. 2022

These projects have significantly enhanced my foundational skills and knowledge in Natural Language Processing (NLP).



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