Kyung-Hoon Kim
Data ScientistCoding "with" AI
Member since June 24, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Coding "with" AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
claude-code-spinner
June 22, 2026 – Present
The Claude Code Phrasebook — every string Claude Code shows you: 187 spinner words, 8 completion verbs, ~64 startup tips. Reverse-engineered from the CLI binary, with extractor + per-version archive.
View Projectunprimed-dialectic
June 3, 2026 – Present
Harden a plan or decision with independent AI reviewers that don't know what you want — an unprimed thesis→antithesis→synthesis (정반합) loop. Essay + Claude Code skill.
View Projectstock_portfolio
May 29, 2026 – Present
Local dashboard for a Korean-listed (KRX) ETF portfolio — ledger-based holdings, realized P/L, and a daily market-value curve you can scrub by date. Flask + pykrx/yfinance, all compute client-side.
View Project--Lecture-Note---Andrej-Karpathy-_How-I-use-LLMs-_FEB-2025
March 2, 2025 – March 2, 2025
--Lecture-Note---Andrej-Karpathy-_How-I-use-LLMs-_FEB-2025 — repository
View Project--Lecture-Note---Andrej-Karpathy-_Deep-Dive-into-LLMs-like-ChatGPT-_FEB-2025
February 16, 2025 – February 23, 2025
--Lecture-Note---Andrej-Karpathy-_Deep-Dive-into-LLMs-like-ChatGPT-_FEB-2025 — repository
View Projectdlai_2409_large_multi_modal_model_prompting_with_gemini
September 29, 2024 – September 29, 2024
dlai_2409_large_multi_modal_model_prompting_with_gemini — repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on LLMs and AI. While this shows passion, the lack of diverse project types, team-based work, or formal experience makes it challenging to assess cultural fit comprehensively. The projects align with a data scientist role focused on AI/ML, but the breadth of skills and exposure to different problem domains is limited. The 'experienceLevel' is 0, indicating a junior profile, which might not align with senior-level expectations for a 'Data Scientist' role without further validation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a self-starter attitude and curiosity, particularly in the AI/ML domain. However, without formal experience or psychometric test results, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.