
Worked on core backend improvements for traPtitech/Jomon and traP-jp/traO-Judge-judge, focusing on time handling, API clarity, and deployment reliability. Introduced a unified nullable time approach using NullTime, standardizing time semantics across models and APIs to improve data integrity and reduce runtime panics. Refactored API and router type names for maintainability, and updated test mocks to align with evolving tooling. Addressed a Docker deployment issue by ensuring the correct binary runs in production, and optimized session ID handling for better memory efficiency. Leveraged Go, Rust, and Docker, demonstrating strengths in backend development, data modeling, and robust testing practices.
July 2025: Delivered core time handling overhaul across traPtitech/Jomon, standardized nullable time semantics (NullTime), unified DeletedAt/PaidAt handling, and aligned time conversions across models and services to improve data integrity and reduce runtime panics. Refactored API surface names for clarity and consistency, updated test mocks/infrastructure to stay in sync with tooling, and addressed deployment and performance improvements across two repositories. Fixed critical Docker deployment to run the correct binary in traO-Judge-judge, and implemented a memory-efficient session_id handling to reduce allocations. Overall, these changes enhanced data reliability, system stability, and developer velocity with tangible business value.
July 2025: Delivered core time handling overhaul across traPtitech/Jomon, standardized nullable time semantics (NullTime), unified DeletedAt/PaidAt handling, and aligned time conversions across models and services to improve data integrity and reduce runtime panics. Refactored API surface names for clarity and consistency, updated test mocks/infrastructure to stay in sync with tooling, and addressed deployment and performance improvements across two repositories. Fixed critical Docker deployment to run the correct binary in traO-Judge-judge, and implemented a memory-efficient session_id handling to reduce allocations. Overall, these changes enhanced data reliability, system stability, and developer velocity with tangible business value.

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