sparcs-kaist/taxi-back
Jan 2026 – Feb 2026
2 Months active
Languages Used
TypeScript
Technical Skills
API integrationMongoDBNode.jsbackend developmentAPI developmentRedis
taeyeongyoo
PROFILE
Taeyeongyoo
Yuntae Yoo developed and enhanced backend features for the sparcs-kaist/taxi-back repository over a two-month period, focusing on scalable API-driven workflows and robust data handling. He implemented a taxi fare estimation feature that integrates real-time data from the Naver API, using caching strategies to improve both speed and accuracy for users. In addition, he introduced Redis-based caching for statistics endpoints, reducing database load and accelerating metrics reporting. Working primarily with TypeScript, Node.js, and MongoDB, Yuntae also addressed data governance by minimizing sensitive information in API responses, demonstrating a thoughtful approach to both performance and privacy in backend development.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
861
Activity Months2
Your Network
12 peopleShared Repositories
12
Work History
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026: Backend delivery for sparcs-kaist/taxi-back focused on performance, reliability, and data governance. Implemented Redis-based caching for statistics endpoints to reduce database load and accelerate metrics reporting; re-enabled schedule registration for taxi fare estimation to restore end-to-end workflow; and minimized data exposure by removing the KRW currency field from savings API responses. These changes improved response times, lowered DB pressure, and tightened data handling across critical taxi-back flows.
3 Commits • 1 Features
Feb 1, 2026February 2026: Backend delivery for sparcs-kaist/taxi-back focused on performance, reliability, and data governance. Implemented Redis-based caching for statistics endpoints to reduce database load and accelerate metrics reporting; re-enabled schedule registration for taxi fare estimation to restore end-to-end workflow; and minimized data exposure by removing the KRW currency field from savings API responses. These changes improved response times, lowered DB pressure, and tightened data handling across critical taxi-back flows.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026Summary for January 2026: Delivered a Taxi Fare Estimation feature that uses the Naver API with caching to provide real-time, faster fare estimates. Integrated external data into the pricing workflow, enhancing estimate accuracy and user experience. Resulting impact includes more reliable pricing for riders and drivers and a scalable foundation for API-driven pricing. Technologies demonstrated include API integration, caching strategies, and disciplined commit hygiene in sparcs-kaist/taxi-back.
January 2026
1 Commits • 1 Features
Jan 1, 2026Summary for January 2026: Delivered a Taxi Fare Estimation feature that uses the Naver API with caching to provide real-time, faster fare estimates. Integrated external data into the pricing workflow, enhancing estimate accuracy and user experience. Resulting impact includes more reliable pricing for riders and drivers and a scalable foundation for API-driven pricing. Technologies demonstrated include API integration, caching strategies, and disciplined commit hygiene in sparcs-kaist/taxi-back.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
API developmentAPI integrationMongoDBNode.jsRedisbackend development
Repositories Contributed To
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