I'm a passionate Spring Backend Developer who loves solving complex problems and building scalable, efficient applications.
Currently focusing on system architecture, distributed communication (gRPC/Kafka), and DevOps automation.

University of Seoul — Computer Science and Engineering
📅 Mar 2019 – Aug 2025 (Graduated)

AI-powered Secure Code Copilot for VS Code

• Overview:
  Developed a VS Code plugin that uses AI chat to suggest secure code and refactor vulnerabilities in real time.

• Role: Team Lead & Backend Developer

  • Designed Spring Boot service architecture and implemented gRPC/SSE streaming APIs.
  • Customized RunPod vLLM gRPC communication for serverless GPU deployment.
  • Built OWASPCodeEval, an automated security benchmark based on OWASP Top 10.
  • Integrated AI streaming with the frontend VS Code Extension (React + TypeScript).
  • Conducted k6 performance tests and Prometheus/Grafana monitoring.

• Tech Stack:
  Spring Boot · gRPC · PostgreSQL · Redis · Docker · AWS · RunPod · TypeScript · React

• Achievements:

  • Reduced latency by 50% using gRPC streaming.
  • Built a complete AI-assisted secure coding system with quantitative evaluation metrics.

• Links:
  GitHub | VS Code Marketplace

O2O-based Side Dish Reservation & Pickup Platform

• Overview:
  Built an O2O mobile service that enables users to pre-order side dishes from local stores and pick them up offline.
  Focused on backend architecture improvement, performance optimization, and service reliability.

• Role: Backend Developer

  • Restructured domain models and ERD for better maintainability.
  • Implemented discount, reservation, and review services.
  • Optimized performance with geospatial indexing and cursor-based pagination.
  • Conducted k6 load tests and Prometheus/Grafana monitoring.
  • Automated deployment via GitHub Actions (CI/CD) and AWS infrastructure.

• Tech Stack:
  Spring Boot · JPA · MySQL · Redis · Docker · AWS · Prometheus · Grafana · k6 · React Native

• Achievements:

  • Improved query performance by ~40% through spatial indexing.
  • Ensured stable operation with ₩80,000/month AWS cost.

• Links:
  Google Play · App Store · GitHub

Real-time Chat Service using Kafka & Redis

• Overview:
  Currently developing a real-time chat platform focusing on scalability and modular architecture.
  Designed with multi-module structure to ensure clear separation of concerns and maintainability.

• Role: Backend Developer

  • Implementing Kafka-based real-time message streaming.
  • Integrating Redis caching and Pub/Sub for efficient data flow and performance.

• Tech Stack:
  Java 21 · Spring Boot · Kafka · Redis · Docker Compose