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Hyukjun Yoon
Backend engineer who turns business flows into product features and designs service structures that scale reliably.
About Me
I am a backend engineer who turns business requirements into product features such as payments, reservations, lessons, and notifications, then designs service structures that scale reliably. I have migrated legacy payment and authentication systems to Java/Spring and reshaped high-risk operational domains into observable, change-friendly systems. Recently, I have been applying LLM pipelines and AI code review automation in production to improve both product quality and development productivity.
Experience
Day1 Company
Backend Engineer
Aug 2024 - Present
- •In progress: backend and app localization for entering the Japanese market
- •Diversified authentication by adding LINE, Google, and Apple social login, and integrated a LINE friend-add prompt for Japanese users
- •Built the app internationalization (i18n) foundation with GCS runtime-loaded language packs and bundle fallback, using a GrowthBook kill switch for zero-downtime rollout
- •Cleaned up hardcoded Korean into message-based strings with locale fallback
- •Added user language and timezone (locale) settings APIs and screens, and propagated language codes to authenticated user data
- •Rebuilt issued documents (completion certificates, level-test reports) from an image-based approach to an HTML rendering architecture for multilingual support — adding a new language now means adding a string file, not redrawing per-language background images
- •The backend only publishes issuance events; rendering is delegated to a Cloud Run service that renders HTML templates and locale strings into PDF
- •Implemented language-based home banner segmentation
EXEM
Backend Engineer
Jul 2020 - May 2024
- •Reworked MyBatis queries with subquery structures to avoid query-size limits from large parameter sets
- •Combined multiple split read queries into a single query to improve response performance
- •Implemented core business logic for a database analysis tool
- •Improved large data read performance to respond within 100ms to 3s
- •Provided database status and analysis metrics visually in the user interface