I design multi-tenant SaaS systems, distributed cloud architectures, and production-grade analytics platforms. Strong across backend APIs, database engineering, and Front-end dashboards.
Full-Stack & Data Platform Engineer with 5+ years of experience across cloud-native backend systems, RDBMS internals, SQL optimization, and analytics dashboard ownership. I deliver end-to-end systems — database aggregation views, ASP.NET Core APIs, and interactive Angular dashboards.
End-to-end data analytics platform across application, data, performance, cloud, and observability layers.
Career progression across AI, database engineering, and full-stack cloud systems.
“Kane(Eungchan) consistently delivered scalable systems with strong architectural thinking. His ability to optimize complex SQL workloads significantly improved production performance.”
“He approaches database engineering with deep understanding of execution plans and statistics engineering, and has consistently led resolution of critical client-side DB issues — from performance bottlenecks to unstable query plans and production-level incidents.”
Skills & Attribute
Languages for Front-end, Back-end, Data-modeling, Database, and Platform Engineering.
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Embedded QuickSight analytics with snapshot automation and distributed scaling.
Multi-tenant real-time reporting platform with OLTP + Analytics separation.
SignalR + SQS + DynamoDB architecture for real-time delivery.
Azure → AWS distributed analytics architecture migration.
Application performance monitoring dashboard and operational insights.
Database statistics module & query optimizer improvement implementation.
Automated query optimization and tuning recommendations.
DB engine internals and system-level design experiments.
Edge-based object detection pipeline with real-time inference.
AI-based annotation & segmentation workflow.