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shoman2/README.md
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🧠 About Me

class AIEngineer:
    name       = "TAE YOU KIM (shoman2)"
    focus      = ["AI Agent Systems", "LLM Harness Engineering", "Workflow Automation"]
    stack      = ["Python", "Claude SDK", "JavaScript", "pandas", "sklearn"]
    current    = "Building production-grade multi-agent exam authoring harness"
    philosophy = "Ship automated pipelines that replace 100x manual effort"

AI Agent Harness μ „λ¬Έ μ—”μ§€λ‹ˆμ–΄. λ³΅μž‘ν•œ 업무 흐름을 μ˜€μΌ€μŠ€νŠΈλ ˆμ΄ν„° β†’ μ „λ¬Έ μ—μ΄μ „νŠΈ β†’ 검증 루프 ꡬ쑰둜 μžλ™ν™”ν•©λ‹ˆλ‹€.
ν–‰μ •μ•ˆμ „λΆ€Β·ν•΄μ–‘μˆ˜μ‚°μΈμž¬κ°œλ°œμ› λ“± 곡곡기관 λŒ€μƒ LLM 기반 μžλ™ν™” μ‹œμŠ€ν…œ 섀계/ꡬ좕/μ»¨μ„€νŒ… κ²½ν—˜ 보유.


βš™οΈ Tech Stack

πŸ€– AI / LLM

Claude Claude Code SDK Multi-Agent LLM Ops

🐍 Python

Python pandas scikit-learn NumPy

🌐 Frontend / Build

JavaScript HTML5 CSS3 Netlify Vercel

πŸ›  Tools & Infra

Git Chrome Headless Markdown JSON


πŸš€ Flagship Project β€” AI Exam Authoring Harness

곡곡기관 AI μ±”ν”Όμ–Έ μ‹œν—˜ 30μ„ΈνŠΈ μžλ™ 좜제 ν•˜λ„€μŠ€ β€” κΈ°κ΄€ 첨뢀 자료만 λ„£μœΌλ©΄ 90개 λ¬Έμ œμ§€Β·ν•΄μ„€Β·μ±„μ  솔버·PDFΒ·CBT JSONκΉŒμ§€ μ™„μ „ μžλ™ 생성

[Input] κΈ°κ΄€ 제곡 첨뢀 자료 (λ³΄λ„μžλ£Œ Β· 법령 Β· 톡계 Β· CSV)
   β”‚
   β–Ό
[Round 0] attachment-analyzer  β†’  자료 λΆ„λ₯˜ & μ½˜ν…μΈ  μœ ν˜• 식별
[Round 1] set-designer         β†’  30μ„ΈνŠΈ Γ— 3κ³Όλͺ© 주제 λ§€ν•‘
[Round 2] question-writer Γ—90  β†’  λ¬Έν•­ 5개 + μ‹œλ‚˜λ¦¬μ˜€ (병렬)
[Round 3] solve-writer   Γ—90  β†’  solve.py + λ‹΅μ•ˆμ§€ + ν•΄μ„€
[Round 4] leak-detector        β†’  μ •λ‹΅ λ…ΈμΆœ 8-pattern LLM 직접 검사 β†Ί
[Round 5] solve-verifier       β†’  solve.py ↔ λ‹΅μ•ˆμ§€ μ •ν•©μ„± 검증     β†Ί
[Round 6] builder              β†’  μ‘μ‹œμž/μ±„μ μž PDF Β· zip Β· CBT JSON
   β”‚
   β–Ό
[Output] 30μ„ΈνŠΈ Γ— 3κ³Όλͺ© = 90 λ¬Έμ œμ§€ νŒ¨ν‚€μ§€ (μ™„μ „ 배포 κ°€λŠ₯)
ν•­λͺ© μŠ€νŽ™
μ—μ΄μ „νŠΈ ꡬ성 μ˜€μΌ€μŠ€νŠΈλ ˆμ΄ν„° 1 + μ „λ¬Έ μ—μ΄μ „νŠΈ 6 + μŠ€ν‚¬ 4
λ¬Έν•­ μžλ™ 생성 κ·Έλ¦°(AIΒ·μ—‘μ…€) / 블루(PythonΒ·ML) 이쀑 νŠΈλž™
ν’ˆμ§ˆ 보증 μ •λ‹΅ λ…ΈμΆœ νŒ¨ν„΄ 40+개 μžλ™ 감지, solve.py μ‹€ν–‰ 검증
λ³΄μ•ˆ μ‘μ‹œμžΒ·μ±„μ μž 트리 뢄리, λˆ„μΆœ 0건 검증 ν•„μˆ˜
배포 μ‚°μΆœλ¬Ό PDF Β· 첨뢀 ZIP Β· CBT JSON Β· 채점 도ꡬ

πŸ“ Architecture Philosophy

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    Orchestrator Layer                       β”‚
β”‚         (λΌμš΄λ“œ 감독 Β· μž¬μž‘μ„± 루프 Β· μ‚¬μš©μž 확인)              β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ Analyzer   β”‚ Designer   β”‚  Writer    β”‚ Verifier   β”‚ Builder β”‚
β”‚ (λΆ„λ₯˜Β·μ‹λ³„) β”‚ (섀계·맀핑) β”‚ (λ¬Έν•­ μž‘μ„±) β”‚ (검증·루프)  β”‚ (λΉŒλ“œ) β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                     Skills / Domain Knowledge               β”‚
β”‚     exam-authoring Β· leak-detection Β· solve-verification    β”‚
β”‚                   Β· difficulty-tuning                       β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

핡심 섀계 원칙:

  • LLM이 직접 read β€” μ •κ·œμ‹ grep으둜 μž‘μ„ 수 μ—†λŠ” 의미적 μ •λ‹΅ λ…ΈμΆœ 탐지
  • μž¬μž‘μ„± 루프 β€” 검증 μ‹€νŒ¨ μ‹œ ν•΄λ‹Ή λΌμš΄λ“œλ‘œ μžλ™ 볡귀
  • μ‘μ‹œμžΒ·μ±„μ μž 트리 μ™„μ „ 뢄리 β€” 채점 자료 λˆ„μΆœ 0-tolerance

πŸ“Š GitHub Stats



Pinned Loading

  1. shoman2.github.io shoman2.github.io Public

    Forked from HyeonAKim/HyeonaKim.github.io

    shoman2's github page

    Jupyter Notebook 2 3

  2. ds_study_materials ds_study_materials Public

    데싸 κ³΅λΆ€λ‚΄μš© 정리

    Jupyter Notebook 1

  3. ml_dl_lecture_study ml_dl_lecture_study Public

    톡계관련 데싸 Interview Question Study

    1

  4. handson-ml handson-ml Public

    Forked from ageron/handson-ml

    A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

    Jupyter Notebook 1

  5. data_structure data_structure Public

    자료ꡬ쑰 Study

    1

  6. edwith_pytorch edwith_pytorch Public

    ## νŒŒμ΄ν† μΉ˜λ‘œ μ‹œμž‘ν•˜λŠ” λ”₯λŸ¬λ‹ ###

    1