91% faster response time | 90% faster incident detection | Open Source Contributor
Backend Developer (3Y 7M) โ AI/MLOps Engineer
๋ฌธ์ ๋ฅผ ๋ฐ๊ฒฌํ๋ฉด ๊ทธ๋ฅ ์ง๋์น์ง ์๋ ๊ฐ๋ฐ์์ ๋๋ค.
- ๋ชจ๋ํฐ๋ง ์์คํ ์ด ์์ผ๋ฉด? โ ์ง์ ๋ง๋ค์ด์ ์คํ์์ค ๊ธฐ์ฌ (Scouter Contributor)
- ์ฑ๋ฅ์ด ๋๋ฆฌ๋ฉด? โ 3๋จ๊ณ ์ต์ ํ๋ก ์๋ต์๊ฐ 91% ๊ฐ์ (1,400ms โ 120ms)
- ๋ฐ๋ณต ์์ ์ด ๋ถํธํ๋ฉด? โ Python 2์ฃผ ๋ ํ ํ ์ฌ๋ด 150๋ช ์ด ์ฐ๋ ์๋ํ ํด ๊ฐ๋ฐ
ํ์ฌ๋ ๋ฐฑ์๋ ์ต์ ํ ๊ฒฝํ์ AI/ML ์๋น์ค๋ก ํ์ฅํ๊ณ ์์ต๋๋ค.
- ๐ 80,000 concurrent users game service response time improved by 91% (1,400ms โ 120ms)
- ๐ฐ Monthly cloud cost reduced by 30% through Redis optimization & infrastructure scale-down
- โก Incident detection time reduced by 90% (30min โ 3min) with custom Scouter APM plugin
- ๐ค Open Source Contributor: Merged MS Teams alert plugin to Scouter official repository
- ๐ Log analysis time reduced by 83% (30min โ 5min) with Azure Log Analytics + KQL
- ๐ง Developed internal CDN automation tool (Python) โ 83% work time reduction (3min โ 30sec)
- ๐ Built end-to-end ML pipeline with Airflow (crawling โ preprocessing โ training โ serving)
Performance optimization through 3-stage caching strategy
- Redis caching + HTML static cache โ 91% response time improvement
- Apache JMeter load testing for 80,000 concurrent users
- Monthly cloud cost reduction: 30%
Real-time monitoring system for 25 servers
- Developed custom Teams webhook alert plugin
- Merged to official Scouter repository (Open Source Contributor)
- Incident detection time: 30min โ 3min (90% reduction)
Eliminating repetitive manual work
- Python tkinter GUI tool (learned Python in 2 weeks)
- 83% work time reduction (3min โ 30sec)
- Used by 150+ employees company-wide
End-to-end ML automation
- FastAPI model serving + MLflow experiment tracking
- Airflow DAG: crawling โ preprocessing โ training โ deployment
- Web UI for non-technical team members to run experiments


