Minialgo Mbt70

Jongmin Kim / 김종민

Industrial Engineering @ Hanyang University
I’m interested in small systems that turn messy information into decisions, actions, and evidence.

복잡한 정보가 실제 판단과 실행으로 이어지게 만드는 시스템에 관심이 있습니다.

Personal AI workflow / 개인 AI 작업 흐름 Using OpenClaw and AgentBox to connect capture, project notes, GitHub work, and review.
→ OpenClaw Personal OS / AgentBox case study
Optimization for operations / 운영 문제의 최적화 Framing trade-offs like comfort vs. energy use as decision-support problems.
Execution support systems / 실행을 돕는 시스템 Looking at failed plans as a feedback, environment, and memory problem, not just a willpower problem.
Public data and access gaps / 공공데이터와 접근 격차 Exploring why useful services or resources often fail to turn into real action.

SK AI Dream Camp 2025 — Intermediate Course 1st, Advanced Course 3rd / 중급과정 1등, 고급과정 3등
Hanium ICT projects — ThermoShift, re:action as PM/team lead / 한이음 프로젝트 PM·팀장 역할로 진행 중
DAKER InvestSkill Dashboard — Skills.md-driven investment dashboard MVP; private/submission-related for now
Statistical data analysis — Kostat_analysis_AI_industrial_forecast

I like work that leaves a trail.

Problem → constraints → small artifact → verification → reusable notes

문제를 먼저 정의하고, 변수와 제약조건을 본 뒤, 작은 산출물로 만들고, 테스트·스크린샷·README·결정로그 같은 증거를 남기려 합니다.

Case studies:

Case study index — one place for published and planned case study notes
OpenClaw Personal OS / AgentBox — personal AI workflow for turning scattered ideas into tasks, artifacts, and reviewable project records
ThermoShift — public-scope comfort-energy optimization brief, coming next
re:action — public-scope execution-support user flow and failure taxonomy, coming next