Data engineer working across the full lifecycle of data — from batch and streaming pipelines to the governance, quality, and semantic structure (ontology, lineage) that make it trustworthy and usable downstream.

At a pharmaceutical company, that spans production-grade pipeline design, organizational-scale governance frameworks, and increasingly, how data is modeled and connected — ontology, knowledge graphs — so it means the same thing to every system that touches it.

Also exploring where this foundation meets AI: agent systems and AX initiatives built on data that's actually structured to support them.

• Batch & streaming pipelines · production-grade
• Data governance, quality & semantic modeling (ontology, lineage)
• AI agent systems grounded in well-structured data

• Daewoong Pharmaceutical, Data Governance Team — Data Engineer 2026.09 – Present
• Daewoong Pharmaceutical, AX Team — Intern 2026.02 – 2026.08
• Snorose — DevOps Team 2026.01 - Present
• CloudClub — 9th Cohort 2026.01 - 2026.07
• Daewoong Pharmaceutical, CRM Team — Global AI Scholar 2025.11 - 2026.02
• BOAZ — 24th Cohort, Data Engineering Track Lead 2025.01 - 2026.01
• GoGDC Sookmyung — 24-25 AI Division 2024.09 - 2024.12
• Data Analysis Club of Sookmyung — Member & Organizer 2024.03 – Present
• FORZA 2023.03 - 2024.12

• 🏆 Grand Prize — DACOS & SOLUX Joint Hackathon 2024.09
• 🥇 Best Award — DACOS Datathon 2024.05
• 🥇 Best Award — Daewoong Foundation × Sookmyung Women's University AI Hackathon 2025.09
• 🥉 Merit Award — Kakao × KIISE AI Agent Competition 2025.11
• 🥉 Merit Award — SM Data Competition 2025.11

Reviewer-RAG: 근거 검증 기반 RAG의 정확도 향상 분석 2025.12