Orchestrated end-to-end design and development of new policy cancellation flow, architecting GraphQL schema and backend validation logic to ensure data integrity, increasing agent productivity by 80% by streamlining cancellation process into single workflow.
Managed data synchronization layer between State Farm applications and GuideWire's PolicyCenter, facilitating real-time data exchange via GraphQL, reducing latency by 45% and achieving 25% boost in operational efficiency.
Led cross-functional initiative to centralize 100+ web components, reducing development redundancy by 90% and enhancing UI consistency across State Farm applications.
Software Development Engineer
Amazon
Remote, MI
06.2022 - 06.2023
Designed and developed a scalable backend system utilizing DynamoDB, Amazon S3, and AWS Lambda to retrieve and process interview data for the Student Program, reducing operational costs by 43%.
Enhanced and deployed a Java Spring Boot application for interview scheduling, implementing advanced caching strategies to reduce API response time by 72%.
Rectified data processing bottleneck by fixing Scala schema and Java logic, enhancing processing speed by 30%.
Automated validation of Bar Raiser Trainee progression with Python script, eliminating manual processing and achieving 100% time savings.
Software Engineer
WorkForce Software LLC
Livonia, MI
10.2020 - 05.2022
Redesigned 13 React components and refactored as feature flags to enhance UI flexibility and scalability.
Refined SQL queries across 7 versions while maintaining backward compatibility, improving performance by 50%.
Optimized Kafka resource management to prevent memory and data leaks, increasing republishing of failed actions by 32%.
Education
Bachelor of Science - Computer Science
Michigan State University
East Lansing, MI
05.2019
Skills
Programming: Java, C, and Python
Web Dev: HTML, CSS, and JavaScript/Typescript
Framework: NET, React, Angular, and Spring Boot
AWS Services
Version Control: Git, Bitbucket, and Perforce
Language: Korean
Technical Projects
Pathfinding Visualizer
https://kyutae7744.github.io/Pathfinder/
Built a React-based application to animate the execution of 5 distinct pathfinding algorithms, enabling real-time visualization of the search processes.
Integrated advanced user interaction capabilities, allowing dynamic grid adjustments such as placing walls and weights, while ensuring real-time updates and minimal performance overhead.