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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

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wjddnwp29/README.md

Open Source

  • Gradio (gradio-app/gradio)
    • Improved developer experience for gr.Tabs() component (#13383, shipped in v6.15.0)
    • Configurable session heartbeat interval via GRADIO_HEARTBEAT_INTERVAL env var (#13422, shipped in v6.16.0)

Projects

  • wafer-defect-pipeline — Diffusion models (DDPM / DDIM / Consistency Models) on WM-811K wafer defect dataset.
  • entry-reco-bot — KoBERT + MAML 기반 자연어 콘텐츠 추천 시스템.
  • GrindProject — Internship IoT project for a coffee factory. ESP01-based sensor system with Random Forest regression.

Certifications & Courses

  • Azure AI Fundamentals - Microsoft(23.11.17)
  • GOOGLE ANALYTICS - GOOGLE(26.04.28)
  • 정보처리기사 - 한국산업인력공단(26.06.12)
  • 6시그마프로젝트실무자 GB/BB - 커넥트직무센터(26.07.06)
  • 빅데이터분석기사 - 한국데이터산업진흥원(26.07.10)
  • Google AI Fundamentals - GOOGLE(26.07.18)

Publication

  • "Study on the Effectiveness Analysis of Natural Language-Based Content Recommendation System in Elementary SW Education" — 공학교육연구 (Journal of Engineering Education Research), 2025. KoBERT + MAML-based recommendation for elementary SW education.

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