Software Engineer and Technical Program Leader with 8+ years of hands-on Java-based in-house enterprise application development experience, spanning full-stack delivery, internal customer support, production operations, QA, and continuous improvement.

I currently work as a Manager in AI Transformation & Automation at NongHyup Bank (NH Bank), building practical tools that turn recurring operational problems into reliable workflows.

Most enterprise Java applications in my professional experience were developed within a regulated financial institution's closed network. Employer-owned source code and repositories cannot be published. Public repositories on this profile contain only independently created projects or sanitized case studies that disclose no employer-owned code.

• Java-based in-house full-stack application development
• End-to-end ownership from internal business requirements to release and operations
• Integration across user interfaces, APIs, databases, and operational workflows
• Production support, incident investigation, root-cause analysis, and continuous improvement
• Technical program management, QA, SIT/UAT, release coordination, and stakeholder alignment
• Python automation, AI transformation, and local LLM orchestration

• Partner with internal customers to turn operational needs into deliverable application changes
• Own the application lifecycle across requirements, development, testing, release, support, and improvement
• Diagnose failures across user, application, data, and integration layers
• Convert recurring user friction and operational work into maintainable system improvements
• Use testing, release controls, documentation, and recovery paths to stabilize change
• Add deterministic validation, fallback paths, and human review around AI-enabled workflows

Java · Python · JavaScript / Node.js · SQL · REST APIs · Playwright · PostgreSQL / Supabase · Local LLMs · Git

A sanitized application-engineering case study showing how I carry a service from user needs and integration design through reliable operation and continuous improvement.

• End-to-end ownership: input handling, application behavior, integrations, validation, and client response
• Safe integrations: URL and redirect validation with private-network protection
• Reliable operations: bounded work, backpressure, health signals, timeouts, and fallback paths
• Release confidence: deterministic validation and automated tests around failure behavior
• Responsible publication: no employer code, credentials, production endpoints, personal data, or third-party content

The full development repository remains private; the public case study documents the application design, operational decisions, failure modes, test strategy, and continuous-improvement approach.