Carrie Chen · English résumé

CarrieChen Proficient in React, Vue. Skilled in AI tools& Vibe Coding.Full ‑ stack with Node.js, Next.js, Nuxt.js 13790948824 cxling_00@163 Front ‑ end Node.js Full ‑ Stack 6 ‑ year experience  SKILLS AI Efficiency: Proficient in AI tools including Cursor, Codex, Trae and DeepSeek for requirement analysis, vibe ‑ coding and troubleshooting. Achieved ~50% daily productivity gain and delivered internal sharing sessions on AI ‑ assisted programming. Language Fundamentals: Solid grasp of vanilla JavaScript & ES6+. Skilled in TypeScript for type constraints a nd engineering ‑ oriented development. Multi ‑ end Development: Proficient in cross ‑ end layout with HTML5/CSS3; experienced with SCSS, Tailwind C SS and rpx adaptation. Hands ‑ on experience across Web, mobile (App/H5/Mini ‑ Program/HarmonyOS) and l arge ‑ screen visualization scenarios. Front ‑ end Frameworks: Experienced with Vue3 (Composition API, Pinia, Vue ‑ Router, Axios); proficient with R eact (Hooks, Redux) and shadcn/ui component development; familiar with uni ‑ app cross ‑ platform developm ent. Full ‑ stack Development: Hands ‑ on experience with Node.js, Nuxt.js and Next.js. Familiar with Nuxt 3 SSR/SS G, Next.js App Router & RSC. Able to build RESTful APIs with Express. AI ‑ integrated Business: Practical experience integrating AI capabilities into business systems. Able to embed LLM inference APIs (structured output, multi ‑ turn conversation), image recognition into existing workflow e ngines. Encapsulated generic AI ‑ request composables for structured result parsing and error handling. 3D Visualization: Familiar with Three.js and Unity WebGL embedding. Implemented lightweight processing a nd rendering optimization for large ‑ scale BIM/GIS 3D models with Glendale, with proven high ‑ performance rendering on low ‑ end devices. Real ‑ time & Audio ‑ Video: Knowledgeable of WebSocket real ‑ time communication and front ‑ end audio ‑ vide o processing. Experienced with Tencent Cloud ASR speech ‑ to ‑ text, including PCM stream pushing and silenc e detection. Engineering & Collaboration: Skilled in project building with Vite + pnpm and multi ‑ platform packaging; exp erienced with SEO & SSR optimization. Familiar with ESLint / Prettier code standards and CI/CD workflows; p roficient in Git collaboration.

 Certifications CET-4 (College English Test Band 4), CET-6 (College English Test Band 6) Senior Information System Project Manager (National Soft Exam, Senior Level)  EDUCATION 2016.9 - 2020.6 GuangDong Ocean University Communication Engineering  WORK EXPERIENCE 2023.5 - 2026.10 Guangdong Yuejian Digital Front ‑ end/Node.js Full ‑ Stack Multi ‑ end front ‑ end development for Web, mobile (App / H5 / WeChat Mini ‑ Program / HarmonyOS) and lar ge ‑ screen visualization projects Leverage AI tools for vibe ‑ coding, requirement decomposition and documentation. Deliver end ‑ to ‑ end impl ementation by engineering LLM capabilities into real ‑ world business scenarios. Full ‑ stack experience with Node.js, Nuxt.js and Next.js; capable of independently delivering front ‑ end and ba ck ‑ end modules for small ‑ to ‑ medium projects. 3D visualization & lightweighting: familiar with Three.js rendering and Unity WebGL embedding. Achieve hi gh ‑ performance rendering of heavy ‑ duty models on low ‑ end devices via Glendale. Front ‑ end engineering & multi ‑ end build: Vite + pnpm setup, SEO optimization, multi ‑ platform packaging a nd performance tuning 2020.10 - 2023.2 GuangZhou Automate Front ‑ end Participate in the functional analysis, requirement design and technical setting in the early stage of the proje ct Research the functional availability of plugins required by the project and solve the compatibility of plugins Participate in maintenance, reconstruction and rewriting of several hospital related projects Responsible for solving the compatibility problems of the project on PC and mobile tablet Reduce the redundancy rate of the original system code, optimize the performance and improve the user ex perience Use lighthouse, a web performance analysis tool, to optimize code to achieve over 90% performance 2020.9 - 2020.10 Zhaopin Network Front ‑ end Participated in PC and H ‑ 5 development for the Veterans Employment & Entrepreneurship Platform. Responsibl e for route authentication, ECharts ‑ powered data analysis, JSONP cross ‑ domain handling and mobile ‑ end rem ‑ b ased layout

 PROJECT EXPERIENCE Group Voting System (iPad + H5 + Large ‑ Screen + Full ‑ stack with AI) Tech Stack: (Frontend) React + Vite+ Zustand + shadcn/ui+Tailwind CSS (Backend) Node.js + Express + Prisma Project Description: An AI-assisted full-stack competition evaluation system covering H5 audience voting, iPad judge scoring and on-site large-screen data display. It supports full-process business closed-loop and multi-ter minal adaptive presentation, supporting Web, Android, iOS and HarmonyOS. Responsibilities: Analyzed requirement documents, clarified workflows, input/output and edge cases. Delivered feature lists, priority planning, technical specs, API docs and database design documents. Broke down tasks following MVP principle. Prioritized core voting ‑ and ‑ leaderboard flow for MVP; implement ed WeChat OAuth, judge scoring, draw ‑ lots and award ceremony in subsequent iterations, with continuous multi ‑ end adaptation and interaction polishing. Leveraged MCP and multi ‑ modal AI tools to generate base layout and style skeletons. Completed componen t decomposition and interaction implementation. Used postcss for px ‑ to ‑ vw conversion on H5 and react ‑ scal e ‑ box for proportional scaling for both tablet and ultra ‑ large display. Utilized AI to identify edge ‑ case scenarios and generate test cases covering unauthorized access, duplicate s ubmission, concurrent deduction and empty data. Conducted manual verification and full ‑ link regression bef ore release. EC Connect (iPad + PC + React) Tech Stack: React + TypeScript + Redux + React ‑ Router + Axios + Material ‑ UI Project Description: All ‑ in ‑ one service system for hospitals in Hong Kong, covering registration, class booking and physical examination, including frontend business portal and background management modules. Responsibilities: Participated in technical selection and project bootstrapping. Designed folder structure and state ‑ managem ent architecture based on React+TypeScript+Redux. Encapsulated shared components including date picker and HKIC component plus multi ‑ selector, abstractin g general business logic to reduce duplicate work. Optimized rendering performance by pure ‑ component splitting, component lazy ‑ loading and adding loadin g states, lifting page rendering efficiency by ~30%. Researched and integrated third ‑ party plugins for image editing, PDF preview and rich ‑ text editing, and fixe d plugin compatibility issues. Addressed tablet compatibility for iPad and Android tablets: optimized react ‑ qr ‑ reader to speed ‑ up QR scan ning by around 1 second; fixed touch ‑ event support for rich ‑ text editors on tablet devices. BIM Collaborative Platform ( PC + uni ‑ app Multi ‑ end + BIM 3D Collaboration ) Tech Stack: Vue3 + uni ‑ app + Vite + Pinia + Ant Design Vue + Element Plus + GlendaleEngine Project Description： A multi-terminal construction collaboration platform for multiple engineering stakeholde rs. It supports BIM/GIS 3D model rendering and covers core full-process construction businesses including cont ract, schedule, quality and fund management. Responsibilities： Leveraged Cesium (GlendaleEngine) to load multi ‑ source models including BIM, GIS, CAD and oblique photo graphy. Resolved coordinate inconsistency and slow ‑ loading issues, and encapsulated over 70 BIM compone nt modules.

BIM Collaborative Platform (PC + uni ‑ app Multi ‑ end+ BIM 3D Collaboration) Rendered construction schedule network diagrams via @antv/g6. Bound construction tasks to BIM compon ents for day ‑ by ‑ day simulation, built playback and schedule dashboards to mitigate delayed schedule deviati on detection. Developed major mobile ‑ end features with cross ‑ code reuse for Android, iOS and HarmonyOS. Applied hybri d ‑ rendering to maintain smooth performance for heavy ‑ weight models on mobile devices. Enabled field staf f to view models, create issues, assign tasks and close tickets on mobile, closing collaboration links between mobile and PC. Implemented multi ‑ environment build with Vite, legacy compatibility and on ‑ demand component import. St andardized codebase with ESLint 9, Prettier and pnpm to improve build efficiency and team collaboration. Group Official Website & Admin Platform (PC + H5 + Nuxt + SSR) Tech Stack: Nuxt 3 + Vue3 + TypeScript + Pinia + Tailwind CSS + Element Plus + ECharts + WangEditor + Vite Project Description: Corporate official website plus integrated content management platform. Nuxt 3 SSR ena bles server ‑ side rendering, bilingual support and responsive multi ‑ end layout. Admin portal provides content p ublishing, workflow approval and permission control for operation teams. Responsibilities: Built Nuxt 3 project architecture from scratch, standardized folder structure. Implemented unified request la yer `useApi` with server ‑ side direct access, client ‑ side proxy routing and centralized error interception, impro ving development efficiency by ~40%. Used `useAsyncData` / `$fetch` for server ‑ side data prefetching and `useSeoMeta` for dynamic TDK injection, solving SPA white ‑ screen and SEO crawling deficiencies. Developed 10+ reusable components such as SmartScroll, EditableText, CarouselImageManager and RichEdi tor for common scenarios including scrolling, editing, file upload and carousel, reducing repetitive developm ent work. Built atomic styling system with Tailwind CSS with responsive breakpoints for PC/mobile adaptation, cutting redundant CSS by ~50%. Improved First ‑ screen performance by ~35% via async component lazy ‑ loading, im age preloading and @nuxt/image. Digital Construction Platform ‑ SGT (PC + uni ‑ app Multi ‑ end + AI Capabilities) Tech Stack: Vue3 + uni ‑ app + TypeScript + Vite + Pinia + Element Plus + uview ‑ plus + Tailwind CSS + ECharts P roject Description: A full-lifecycle group construction management system with PC and mobile multi-terminal support. It integrates AI speech recognition and LLM capabilities to realize digital, intelligent on-site constructio n management. Responsibilities: Integrated Tencent Cloud ASR speech recognition. Implemented audio recording and real ‑ time WebSocket s treaming transcription with silence detection and pause ‑ resume, improving field input efficiency by ~50%. Built generic inference wrappers to submit transcripts and site records to backend LLM services. Realized for m ‑ field auto ‑ filling with multi ‑ round revision support, reducing single ‑ log filling time from ~10 mins to 3 mi ns. Encapsulated reusable components including voice input, electronic signature, document preview and chart cards for logs, rectification and sample ‑ approval scenarios, cutting redundant code by ~40%. Optimized loading performance under weak ‑ network conditions with Vite+pnpm build, route lazy ‑ loading, o n ‑ demand import, image lazy ‑ loading and local caching, reducing bundle size by ~30%.

 SELF ASSESSMENT Cheerful personality, good at communication, get along well with colleagues, have a sense of responsibility Good at thinking, with a strong ability to solve problems independently; Strong self-learning ability, the cou rage to innovate and accept new knowledge