BoGyeong(Michelle) Kim

A highly motivated and detail-oriented backend developer with hands-on experience in backend system architecture, database optimization, and cloud deployment. With a strong academic background in Computer Science from the UK and prior IT experience at the Korea Development Bank(KDB) in London, I bring technical proficiency and cross-cultural communication skills to fast-paced software teams.

• Exercising(fitness, swimming, running), Traveling

• Microsoft Azure AI Fundamentals, Microsoft, 05/01/22
• Microsoft Azure Fundamentals, Microsoft, 01/01/22
• Engineer Information Processing (written passed), Korea

Seoul Tourism Web Application - Backend Developer | Jan 2025 - Feb 2025

Description:

Developed a web platform for international visitors to Seoul, offering itinerary planning, favorite destinations, calendar management, and souvenir shopping features.

Technologies Used:

Java 17, Spring Boot, Spring Data JPA, MariaDB, Redis, React, AWS EC2, S3, Docker, GitHub Actions

Result & Performance:

• Prevented race conditions in ‘Like’ feature using @Transactional and DB-level Unique Index

• Applied Redis caching to boost TPS by 60.7% and reduce error rate to 0%

• Resolved N+1 issues using JPQL Fetch Join and optimized DB queries with indexing

• Managed full CI/CD pipeline via Docker and GitHub Actions

Reference: https://github.com/michelle9876/SeoulTourism-Backend-Springboot

Book Shopping Mall Website - Backend Developer | Dec 2024

Description:

Built an online bookstore service with secure payment, product search, cart, and order management for users who love novels.

Technologies Used:

Java 17, Spring Boot, Spring Data JPA, MariaDB, React, AWS EC2, S3, RDS

Result & Performance:

• Integrated PortOne API for secure payment processing and applied Spring Retry for fault tolerance

• Ensured transactional safety to prevent duplicate orders

• Deployed scalable backend services using AWS EC2 and RDS

Reference: https://github.com/michelle9876/BookShoppingMall-Springboot

“Help for Entrepreneurs” (Startup Recommendation System) - Backend Developer | Jun 2024 - Aug 2024

Description:

Developed a big data-driven service recommending optimal industries and locations for aspiring entrepreneurs based on local sales trends and AI models.

Technologies Used:

Java 17, Spring Boot, Spring Data JPA, MariaDB, React, AWS EC2, S3, CodeDeploy, GitHub Actions, Machine Learning (Random Forest)

Result & Performance:

• Achieved 0.894 R² in sales prediction model

• Built and automated CI/CD pipeline with GitHub Actions

• Enhanced database structure and query performance via normalization and indexing

Reference: https://github.com/michelle9876/finalProject-ML-web-react-springboot