Professional Summary

"An engineering leader who turns the next wave of technology into team results"

For 18+ years I have worked at the front line of backend and data engineering: an ad platform absorbing 4M requests per second, production-grade blockchain infrastructure, an Iceberg & dbt data lakehouse, and now an AI-native engineering culture where LLM agents work as teammates. At every inflection point, I validated the new technology and made it the organization's standard.

Beyond adopting technology, my strength is solving business problems end-to-end with strong ownership and initiative. Colleagues describe me as "a collaboration partner they want to work with" and "an expert who delivers high-quality results" — I pursue technical excellence and team growth together.

Career Story

From game servers to high-scale traffic, blockchain, data platforms, and AI engineering leadership — an 18-year journey.

NAVER

Development Team Lead

2020.05 – Present · Place Data Platform (org leader since 2021.04)

Leading a 6–8 person data engineering org — transformed manual data request handling into a contract-based self-service platform, and now building a dev culture where AI agents work alongside the team.

AI Engineering & Dev Workflow Automation
  • Led LLM-agent (Claude Code) based team automation — built and operate an AI code review bot, automated Jira issue triage/operations, and an internal AI assistant (Slack bot) on Kubernetes.
  • Designed AI contribution measurement infrastructure — deterministic tracking signatures aggregated via LLM judgment: 400+ merged AI-authored PRs and 1,200+ AI-driven tasks measured within six months of adoption (as of Jul 2026).
  • Standardized repetitive work (data modeling → pipeline contract → access requests) into reusable AI skills/plugins shared by the whole team.
Data Lakehouse
  • Designed and operate an Iceberg·Spark·Kafka·Airflow data lakehouse — a ~90-node dedicated Hadoop cluster with a 100TB+ snapshot layer, realtime CDC from 13+ service sources, and active/standby disaster recovery.
  • Led a zero-downtime IDC migration (2026) — moved 100TB+ of data and every component with a dual-write / fade-in-out strategy, cutting hardware by ~25%.
Place BI — Dimensional Modeling & Semantic Layer
  • Established dbt-based dimensional modeling conventions (fact/dimension/serving layers) and built a static validation tool that auto-detects violations — model quality guaranteed by the system, not by people.
  • Standardized ~100 metrics into a single source of truth with a MetricFlow semantic layer, delivered as KPI dashboards — eliminating cross-team data inconsistencies.
  • Built an automated parity-verification harness that cross-checks KPI numbers produced by different systems, securing metric trustworthiness.
Data-Contract-Based Self-Service ETL
  • Designed a self-service data platform where schema definition (Protobuf), pipeline creation, and data subscription/permissions are all handled by a single contract-file PR — operating 500+ data models, 30+ pipeline contracts, and 160+ dbt models.
  • Supplies data to company-wide AI workloads — foundation-model pretraining, abuse detection, credit-scoring models — through 12 data products (DaaS).
Data Governance & Data Mesh
  • Led data governance for the Place data domain and headed a Data Mesh transition TF, designing a domain-oriented data ownership structure.
Realtime Abuse Detection
  • Advanced a realtime-pipeline-based abuse detection system, raising service trustworthiness. Tech blog (KR)

LINE Plus

Software Engineer (Blockchain)

2018.05 – 2020.05

Turned an unproven technology — blockchain — into production-grade infrastructure.

  • Researched and developed blockchain transaction performance improvements and interchain systems.
  • Built KMS/HSM-based secure blockchain network provisioning and Docker/Kubernetes node orchestration. Tech blog

LINE

Senior Backend Engineer (Ads)

2016.10 – 2018.05

Built the system absorbing a global messenger's ad traffic — recognized as best engineer for it.

  • Developed a high-performance ad event collection system handling 2B daily requests / 4M TPS (Kafka, Avro, ELK, Hive).
  • Developed ad-serving servers and an admin permission-management module (Spring, Scala, Akka-HTTP).
  • Received the Best Engineer Award (2017) for outstanding technical contribution and business impact.

NHN / LINE

Backend Engineer

2011.01 – 2016.10

Community, search, music streaming — built the fundamentals of large-scale systems across global services.

  • Designed and developed the LINE MUSIC streaming service, plus its settlement and billing (IAP/IAB) systems (Spring, MySQL, ELK, Spring Batch).
  • Developed the LINE messenger Note service — high-volume processing on sharded MySQL.
  • Built LINE Thailand shopping search (Elasticsearch) and Naver Japan Cafe services.

JCE (JOYCITY)

Software Engineer

2008.07 – 2010.12 (internship 2008.03 – 06)

From intern to Rookie Award in year one, Excellent Employee Award the next — proving growth speed from the start.

  • Led game logic and backend server development for 'Hoyfarm', the predecessor of the hit social game 'Rule the Sky'.
  • Built an in-house Lucene-based search engine and web crawler, improving data collection and search efficiency.
  • Converted to full-time after the 2008 internship; won the Rookie Award and Excellent Employee Award in consecutive years.

Engineering Leadership & Culture

Hands-on Leadership
  • 5+ years leading data engineering orgs (TL → Leader), concurrently heading multiple TFs across platform, governance, and Data Mesh.
  • Recorded 2,400+ contributions a year (2021) and 350+ PRs in H1 2026 alone — living proof of AI-agent-collaborative development.
  • Devoted roughly 40% of all activity (2022) to code review and authored 450+ internal wiki pages — driving code quality and knowledge assets together.
AI-Native Team Building
  • Brought LLM agents into the team's dev and ops workflows, established as reusable skills anyone can apply.
  • Made AI-generated work traceable and measurable — managing "AI impact" with data, not gut feeling.
Coaching Leadership
  • Completed 3Cs I Basic (Core Coaching Competencies), 2022.04.
  • Coaching-based communication over directives — drawing out each member's potential and self-driven problem solving.
Professional Reputation
  • "Obsessed with users; evidence always comes from data" — keywords confirmed repeatedly across years of peer reviews.
  • See the Peer Reviews page for details.

Technical Skills & Certifications

AI Engineering

LLM Agents (Claude Code), AI workflow automation, MCP, agent skill/plugin design, AI contribution measurement

Data Engineering

Iceberg, dbt, MetricFlow, Spark, Trino, Kafka, Airflow, Protobuf, DataHub, Elasticsearch

Backend & Infra

Java, Scala, Python, Node.js, Spring, Kubernetes (CKAD), Docker, ArgoCD, Helm

Certifications & Languages

CKAD (2019), Engineer Information Processing (KR national cert), SCJP, MCSD, official Elasticsearch training · Korean (Native), English (Working), Japanese (Basic; 2 years building Japan-facing services)