Trimm

Project Duration: Sep 2024 – Dec 2024

A location-based service aimed at delivering personalized search results while optimizing API call costs.

• Tech Stack: Docker, GitHub Actions, AWS, Spring Boot, MongoDB
• Team: 4 members (My Role – Cloud & DevOps, Others – Backend (2), Frontend (1))

📌 Project Overview
• A location-based search service combining user-preference personalization with API cost optimization.

🎯 Motivation & Goals
• Need for an efficient service that delivers personalized results while minimizing external API usage costs
• Designed with dual goals of improved user experience and operational efficiency

🚀 Key Features
• Personalized search including initial consonant matching (Korean)
• MongoDB-based weighted algorithm and caching for search
• Applied minimal Kakao API call strategy (maintained at zero cost)

💻 Responsibilities & Contributions
• Built CI/CD pipeline using Docker, GitHub Actions, and EC2
• Managed deployment pipeline and contributed to backend API design
• Achieved cost reduction through effective data caching strategy

✅ Achievements & Reflection
• Completed a real-time search system with zero API cost
• Gained experience in automating DevOps pipeline in AWS environment