Heetae Lee

Skills

Tech Stack

Backend · Web · Database · CI/CD · AI

Backend

Java-based service APIs and business logic

  • JavaPrimary language for implementing service APIs and business logic
  • Spring BootBackend application and service API development
  • Spring FrameworkExisting service structure and business logic development
  • Spring TransactionAnalyzed transaction boundaries across service operations and isolated failure impact
  • REST APIService features and external system integration APIs
  • BatchScheduled processing, data collection, and post-processing flows
  • Java ConcurrencyDevelopment, operations, and flow analysis for a search service using CompletableFuture, a dedicated thread pool, and WebFlux-based parallel processing

Web

JSP screens · JavaScript interactions

  • JSPJava-based server-rendered business pages
  • JavaScriptScreen behavior and user input handling
  • jQueryDOM manipulation and event handling in existing services
  • AJAXAsynchronous screen requests and partial updates
  • JSTLConditional rendering, loops, and data output in JSP pages

Database

Oracle · SQL · Redis

  • OracleMain database for implementing order, product, point, and statistics data flows
  • MyBatisSQL-centric business logic and Java object mapping
  • SQLData consistency checks, reporting queries, and batch-result analysis
  • PL/SQL / ProcedureDatabase-side processing logic and batch post-processing analysis
  • MERGEReference-data updates and bulk data correction
  • RedisDevelopment and operations experience with services using Redis for Spring Session and query-result caching

CI/CD & Deploy

Build · deploy · containers · runtime

  • GitLab CI/CDBuild/deploy pipeline configuration and deployment validation
  • JenkinsCI/CD job-based build and deployment workflows
  • DockerContainer runtime configuration and validation
  • TomcatJava web application runtime
  • Maven / WARJava project build and deployment packaging
  • LinuxServer log analysis, configuration checks, and runtime issue handling

AI / LLM

AI-assisted engineering · LLM API integration

  • AI-assisted EngineeringUsing AI for issue analysis, documentation, and verification workflows
  • AI-DLCStructuring work context, code flow, and test cases as AI-readable knowledge
  • Prompt DesignInput constraints and response criteria aligned with service goals
  • Structured AI ResponseDesigning AI responses as service-friendly JSON structures
  • OpenAI APILLM request/response flow and error-handling rule implementation
  • Azure OpenAILLM API integration and response generation flow implementation

Python

API prototypes · AI API integration

  • PythonAPI prototyping and AI API integration implementation
  • FlaskLightweight API server and request/response handling
  • pipPython dependency setup and reproducible runtime environment management
  • Oracle ClientOracle connectivity validation from Python applications

Enterprise Systems

Enterprise systems · internal runtime environments

  • WebSquareInternal business screen development experience
  • DB2Data lookup and workflow analysis in internal enterprise systems
  • RPG(IBM)Experience with business flows connected to existing core systems
  • Windows / Office RuntimeAnalysis of internal user environments and business-system runtime constraints