
Developed a unified frontend for the CurtainWallWeb-Frontend repository, integrating device control, alarm records, and an AI analytics bot into a centralized platform. Focused on modular architecture and UI/UX refactoring, the work consolidated monitoring subsystems and improved navigation, enabling streamlined operations and faster access to system insights. Leveraged Vue.js, TypeScript, and real-time data handling to enhance data visualization and support actionable analytics for operations teams. The release established a scalable foundation by merging subsystem integrations, reducing context switching and improving incident response. No major defects were reported, reflecting a stable deployment driven by thoughtful refactoring and robust frontend engineering practices.
December 2024: Delivered a unified frontend that integrates device control, alarm records, and an AI analytics bot into CurtainWallWeb-Frontend. This release includes UI component refactors, navigation updates, and enhanced data visualization across monitoring modules to deliver a centralized UX for managing and analyzing system data. No major defects reported this period; stability improvements were driven by refactors and consolidation. Impact: streamlined operations, faster access to system insights, and data-driven decision making enabled by AI analytics. Technologies demonstrated: frontend architecture, UI/UX refactoring, modular design, integration of AI analytics, data visualization, and monitoring subsystems. Business value: reduced context switching, improved incident response, and more actionable analytics for ops teams.
December 2024: Delivered a unified frontend that integrates device control, alarm records, and an AI analytics bot into CurtainWallWeb-Frontend. This release includes UI component refactors, navigation updates, and enhanced data visualization across monitoring modules to deliver a centralized UX for managing and analyzing system data. No major defects reported this period; stability improvements were driven by refactors and consolidation. Impact: streamlined operations, faster access to system insights, and data-driven decision making enabled by AI analytics. Technologies demonstrated: frontend architecture, UI/UX refactoring, modular design, integration of AI analytics, data visualization, and monitoring subsystems. Business value: reduced context switching, improved incident response, and more actionable analytics for ops teams.

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