I'm interested in Data Analytics, Data Quality for Search and Recommendation, and Cloud DB Reliability
- I’m interested in metrics-driven analysis and data quality improvement to make search and discovery experiences more reliable
- I’m also exploring data pipeline engineering, cloud database reliability, observability, and performance engineering
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I worked as a Data Analyst in the Data Analysis Chapter at ABLY Corporation (Mar 2026 ~ Jul 2026)
- Defined business metrics and analyzed user funnels, conversion, retention, and A/B tests
- Managed analytical data pipelines and data models using Airflow and dbt
- Monitored pipeline failures, handled retries and backfills, and improved data quality
- Built dashboards and weekly reports using Redash to support data-driven decision-making
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I worked as a NAVER Cloud Platform Cloud DB Dev Intern (Feb 2025 ~ Aug 2025)
- Supported the operation of managed Cloud DB services and Classic-to-VPC data migration
- Built an automated MongoDB performance validation pipeline with standardized test environments and performance metrics
- Developed an AI-based query tuning and optimization tool that analyzes execution plans and identifies query bottlenecks
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I presented at OpenInfraDays Korea 2025 (Aug 26, 2025): Cloud DB Migration: Between Classic to VPC Environment
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I served as Vice President of AoldaCloud, Ajou University’s cloud operations club (Jan 2025 ~ Jan 2026)
- Built a monitoring system for large-scale logs generated by the university’s OpenStack-based private cloud
- Collected, processed, and visualized infrastructure logs to improve system observability
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I worked as a Python Study Instructor for two years (Sep 2022 ~ Dec 2023)
- Designed and delivered Python programming courses for first-year students in the Department of Software