I am a backend-oriented software engineering student building services in the Cloud ecosystem.
I develop Spring-based APIs while automating infrastructure with AWS and IaC to ensure scalability and reliability.
Currently, I manage both application and infrastructure for a live service with 100+ active users.

• 🔭 I’m currently working on:SKKUDING (Online Judge Platform – Backend & Infra)
• 🌱 I’m currently learning: Effective API Design, Distributed Systems, Terraform Patterns
• ☁️ Activities: Active Member of AUSG (AWSKRUG University Student Group)
• 🛠 Tech Stack: Spring, AWS, Terraform, GitHub Actions, Docker
• 📫 Contact:ysjjw2003@naver.com

Cloud & DevOps

Backend

Online Judge Platform serving 100+ students

• Role: DevOps / Infrastructure Engineer
• Key Achievements:
  • Automated Release Candidate (RC) environment deployment using Terraform & GitHub Actions.
  • Designed infrastructure as code on AWS (ECS, RDS, Route53, S3) to ensure reproducibility.
  • Implemented DB snapshot & sensitive data masking pipeline for secure test environments.
  • Enabled “One-Click” deployment workflow for team-wide operational efficiency.

Personalized Financial Product Comparison & Recommendation Platform

• Role: Backend Developer (Sole Backend Engineer)
• Tech: Spring Boot, MySQL, AWS, Terraform
• Key Achievements:
  • Designed and implemented RESTful APIs and database schema.
  • Integrated Gemini API-based RAG pipeline combining DB data and external news snippets.
  • Resolved 429 rate-limit errors with retry & backoff strategies to ensure service stability.
  • Migrated AWS infrastructure to Terraform-managed IaC and automated deployment via GitHub Actions.

Weather-based Subway Congestion Information Service

• Role: Backend Developer
• Tech: Spring Boot, Redis, Public API, AWS
• Key Achievements:
  • Implemented congestion prediction APIs and integrated public weather APIs.
  • Designed Redis caching strategy to improve response time.
  • Collaborated with frontend to implement push notification system using Expo PushToken.
  • Awarded Grand Prize in the TAVE 15th cohort.

Jeju Cruise Terminal Automated Immigration Gate

• Role: QA & Developer Intern
• Key Achievements:
  • Conducted load testing for 28 concurrent users using JMeter to identify API bottlenecks.
  • Validated facial recognition algorithm compatibility and data integrity.
  • Built structured Oracle test datasets for multiple edge-case immigration scenarios.
  • Documented performance thresholds and reported system tuning requirements.