
Over six months, contributed to MaaAssistantArknights by developing and refining features focused on Japanese localization, OCR-driven text recognition, and UI/UX improvements for mobile and game automation contexts. Leveraging C#, C++, and JSON, implemented robust data processing pipelines and regex-based extraction logic to enhance in-game text accuracy and streamline localization workflows. Addressed cross-repository asset management, configuration updates, and metadata hygiene to support reliable deployments and maintainable codebases. Enhanced user experience through targeted UI adjustments and theme switching, while reducing manual QA overhead by improving automation reliability. The work demonstrated depth in Android development, internationalization, and cross-title game data management.
December 2024 performance summary: Drove focused Battle Pass improvements across MaaRelease and MaaAssistantArknights to enhance navigability, discoverability, and consistency for YostarJP BP users. Reverted experimental reclamation algorithm edits to restore stability and predictable behavior on Yostar servers. Delivered cross-repo alignment that reduces support friction and supports engagement with BP content.
December 2024 performance summary: Drove focused Battle Pass improvements across MaaRelease and MaaAssistantArknights to enhance navigability, discoverability, and consistency for YostarJP BP users. Reverted experimental reclamation algorithm edits to restore stability and predictable behavior on Yostar servers. Delivered cross-repo alignment that reduces support friction and supports engagement with BP content.

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