个人总结Professional Summary
AI驱动与全栈工程效能:AI-Driven & Full-Stack Engineering Efficiency: 将AI工具(如Cursor、Claude 等)深度融入研发工作流，极大提升全栈交付效率。熟练运用 Node.js 与 Python 开发自动化脚本，持续优化 CI/CD 与日常研发工作流。 Deeply integrate AI tools (e.g., Cursor, Claude) into the R&D workflow to dramatically boost full-stack delivery efficiency. Proficient in building automation scripts with Node.js and Python, continuously optimizing CI/CD and daily engineering workflows.
资深全栈交付能力:Senior Full-Stack Delivery: 6年+开发经验，深度掌握 React/Next.js / TypeScript 生态，具备从前端交互到服务端架构的端到端独立交付能力。熟悉 PostgreSQL 数据库设计，能独立承担服务端 API 开发、数据自动化处理与高可用容器化部署。 6+ years of development experience with deep mastery of the React/Next.js/TypeScript ecosystem, capable of end-to-end independent delivery from front-end interaction to server-side architecture. Familiar with PostgreSQL database design; able to independently own server-side API development, data automation, and high-availability containerized deployment.
跨平台与多端覆盖:Cross-Platform & Multi-End Coverage: 熟练运用 React/Vue 技术栈，具备 React Native、小程序、VS Code 插件多端实战经验，可独立把控跨平台业务的技术选型与全栈落地。 Proficient with React/Vue stacks and hands-on experience across React Native, mini-programs (WeChat/ByteDance), and VS Code extensions, capable of independently driving technology selection and full-stack implementation for cross-platform businesses.
独立架构与视觉落地:Independent Architecture & Visual Implementation: 具备良好的组件抽象与 UI 实现能力，熟练使用 Tailwind CSS 等主流方案。具备像素级还原 Figma 设计稿的专业能力；在无完整设计稿的情况下，擅长运用 Stitch 等工具驱动 AI 生成设计稿，结合业务目标独立把控视觉细节并高保真推动落地，实现研发闭环。 Strong component abstraction and UI implementation skills, proficient with mainstream solutions such as Tailwind CSS. Capable of pixel-perfect Figma implementation; when full design specs are unavailable, adept at using tools like Stitch to drive AI-generated drafts, independently controlling visual details aligned with business goals to push high-fidelity delivery.
DevOps与容器化交付:DevOps & Containerized Delivery: 熟练运用 Docker 设计与维护多容器部署架构（Web / Worker 独立容器隔离），主导 CI/CD 流水线建设与自动化部署实践。结合 Node.js / Python 自动化脚本实现构建、测试、部署全链路自动化，具备从开发环境到生产环境的高可用容器化交付与运维能力。 Proficient in designing and maintaining multi-container deployment architectures (isolated Web/Worker containers), leading CI/CD pipeline construction and automated deployment. Combined with Node.js/Python automation scripts to achieve full-chain automation of build, test, and deployment, with high-availability containerized delivery and operations from dev to production.
工作经历Work Experience
前端开发工程师Front-End Engineer
- 前期参与基于 Bisheng 的 AI Agent 平台二次开发，负责品牌替换、登录页移动端适配、租户管理、数据广场（数据集浏览/检索/合成知识库）、MCP 工具集成及对话界面优化（思考过程展示、工具中断控制）。Initially participated in the secondary development of an AI Agent platform based on Bisheng, responsible for branding replacement, mobile adaptation of the login page, tenant management, Data Square (dataset browsing/retrieval/synthesized knowledge bases), MCP tool integration, and conversation UI optimization (thinking-process display, tool interruption control).
- 后期以 AI 辅助编程为核心开发方式，主导 AI 内容创作 SaaS 产品的前端核心研发，个人累计贡献代码变更量 22 万行+，涵盖多平台内容生成（微信公众号、小红书、抖音、视频脚本）、批量任务调度、富文本编辑器、AI 图像生成、品牌词库、知识库等核心模块。Later adopted AI-assisted programming as the core development method, leading the front-end core R&D of an AI content-creation SaaS product, personally contributing 220,000+ lines of code changes, covering core modules such as multi-platform content generation (WeChat Official Account, Xiaohongshu, Douyin, video scripts), batch task scheduling, rich-text editor, AI image generation, brand glossary, and knowledge base.
- 独立开发小红书小程序，完成内容从 Web 端到小程序侧的发布链路打通。Independently developed the Xiaohongshu (RED) mini-program, completing the content publishing pipeline from web to mini-program.
- 负责多容器 Docker 部署架构设计与维护（Web / Worker 独立容器），推动产品从开发到生产交付的全流程落地。Designed and maintained a multi-container Docker deployment architecture (isolated Web/Worker containers), driving the product's end-to-end delivery from development to production.
前端开发工程师Front-End Engineer
- 核心产品迭代：Core Product Iteration: 主力参与 AI 社交产品（小冰X Eva / Chararu）的前端研发，覆盖小程序、H5、App 内嵌模块，累计服务用户超百万。Key contributor to the front-end R&D of AI social products (Xiaoice X Eva / Chararu), covering mini-programs, H5, and in-app modules, serving over one million users cumulatively.
- 工程效能提升：Engineering Efficiency: 主导优化 Mac 平台打包插件，每次上线流程缩短 30%；为 Chararu 做国际化时，使用 Babel 解析源码 AST、批量提取并替换代码中的日文文案，编写自动化脚本实现多语言内容替换，国际化开发周期缩短 1 周。Led optimization of the Mac packaging plugin, shortening each release cycle by 30%; during Chararu's internationalization, used Babel to parse the source AST, batch-extract and replace Japanese copy, and wrote automation scripts for multilingual content replacement, cutting the i18n development cycle by one week.
- 跨平台能力：Cross-Platform Capability: 独立完成 H5_XEva 的 Apple 登录 + IAP 支付集成及阿拉伯语等多语言国际化适配，支持海外市场拓展。Independently completed Apple Sign-In + IAP payment integration and Arabic/multilingual i18n adaptation for H5_XEva, supporting overseas market expansion.
- 跨端协作：Cross-End Collaboration: 设计与客户端团队共建公用功能接口，标准化后类似功能开发效率提升 1 天+。Designed and co-built common function interfaces with the client team, standardizing similar features and improving development efficiency by 1+ day.
- Chrome 扩展探索：Chrome Extension Exploration: 内部技术探索项目，基于 Chrome Extension Manifest V3 + React 开发 AI 语音对话扩展，集成 Azure Cognitive Services SDK 实现实时 ASR 语音识别与 TTS 语音合成，结合 Live2D 虚拟人实时渲染，实现语音驱动的沉浸式 AI 社交体验。An internal tech-exploration project—developed an AI voice-conversation Chrome extension based on Manifest V3 + React, integrating the Azure Cognitive Services SDK for real-time ASR and TTS, combined with Live2D virtual avatar real-time rendering for an immersive, voice-driven AI social experience.
前端开发工程师Front-End Engineer
- 高流量 H5 开发：High-Traffic H5 Development: 负责映客 APP 内核心 H5 功能页与活动页（100+ 页面）开发与维护，日 PV 总计超 80 万。Owned development and maintenance of core in-app H5 feature and campaign pages (100+ pages) for the Inke app, with total daily PV exceeding 800K.
- 跨端移动开发：Cross-End Mobile Development: 参与基于 React Native 的跨平台移动应用开发，独立完成任务中心功能模块，实现 iOS/Android 双端功能复用。Participated in React Native-based cross-platform mobile development, independently delivering the task-center module with iOS/Android dual-end reuse.
- 架构与体验优化：Architecture & Experience Optimization: 优化基于 CRA 的 React 项目架构与 Webpack 配置，Rebuild 效率提升 30%+；沉淀通用组件库，相似需求开发效率提升 1 人日以上。Optimized the CRA-based React project architecture and Webpack configuration, improving rebuild efficiency by 30%+; built a shared component library, raising similar-requirement development efficiency by 1+ person-day.
- TypeScript 布道者：TypeScript Evangelist: 从零搭建并推广团队 TS 开发环境，重构核心工具方法，助力主要页面 JS 报错率降至 0.02% 以下。Built and promoted the team's TS development environment from scratch, refactored core utility methods, and reduced JS error rates on key pages to below 0.02%.
项目经历Project Experience
开发中（未上线）· 个人项目In development (not yet launched) · Personal project
技术栈：Tech Stack: 微信小程序（WXML / WXSS / TypeScript）· Golang（后端 API 服务）WeChat Mini-Program (WXML / WXSS / TypeScript) · Golang (backend API service)
- 自主立项并独立开发中的滑雪场景微信小程序，独立负责从 0 到 1 的产品定义、前端（微信小程序）与后端（Golang）全栈开发。Self-initiated and independently developed ski-scenario WeChat mini-program, solely responsible for end-to-end full-stack development from 0 to 1, including product definition, front-end (WeChat mini-program), and back-end (Golang).
- 前端基于微信小程序原生框架实现交互与页面；后端采用 Golang 提供 API 服务，独立把控前后端技术选型、接口设计与数据模型。Front-end built with the native WeChat mini-program framework for interaction and pages; back-end uses Golang to provide API services, with independent control over front-end/back-end tech selection, API design, and data modeling.
- 当前处于 MVP 开发阶段，聚焦核心业务流程打通与可用性验证。Currently in the MVP development phase, focusing on core business-flow connectivity and usability validation.
技术栈:Tech Stack: Next.js / Node.js / TypeScript / PostgreSQL / Redis / BullMQ / Drizzle ORM / Vercel AI SDK
- 独立主导全平台 AI 内容创作系统的前后端端到端研发，为团队贡献量最多的成员。Independently led end-to-end front-end and back-end R&D of the platform-wide AI content-creation system, being the top contributor by volume.
- 前端与富交互:Front-End & Rich Interaction: 构建基于 Slate.js 的富文本编辑器，集成 AI 辅助改写、悬浮工具栏、图片本地上传与拖拽排序等功能。Built a Slate.js-based rich-text editor with AI-assisted rewriting, a floating toolbar, local image upload, and drag-and-drop sorting.
- 服务端与模型调度:Server & Model Scheduling: 实现 LLM 多模型路由层，统一接入 Claude Sonnet、字节豆包Seed 等模型，支持流式输出、自动降级(Fallback)及多平台并行 Artifact 状态管理。Implemented an LLM multi-model routing layer unifying access to models such as Claude Sonnet and ByteDance Doubao Seed, supporting streaming output, automatic fallback, and multi-platform parallel Artifact state management.
- 后端任务中心设计:Back-End Task-Center Design: 开发批量内容生成系统，基于 BullMQ 父子任务队列调度，结合 Redis 心跳监测与崩溃自动恢复机制，保障大批量数据自动化任务的稳定执行。Developed a batch content-generation system based on BullMQ parent-child task queues, combined with Redis heartbeat monitoring and crash auto-recovery to ensure stable execution of large-scale automated data tasks.
技术栈：Tech Stack: Vue 3 / TypeScript / Uniapp / React
- 核心贡献者（2年），主导 Chararu 多个核心模块：日记系统、游戏房间、私密房间、角色对话系统、通知与本地化配置。Key contributor (2 years), leading multiple core modules of Chararu: diary system, game rooms, private rooms, character dialogue system, notifications, and localization config.
- 主导 4+ 小程序持续迭代与 10+ Web 页面开发，保障高并发下的用户体验。Led continuous iteration of 4+ mini-programs and development of 10+ web pages, ensuring UX under high concurrency.
- 完成 H5_XEva 的 Apple 登录、IAP 支付及阿拉伯语等多语言国际化适配，支持海外市场拓展。Completed Apple Sign-In, IAP payment, and Arabic/multilingual i18n adaptation for H5_XEva, supporting overseas expansion.
技术栈：Tech Stack: React / TypeScript / React Native / Redux / React Navigation
- 独立负责 100+ 高并发 H5 功能页（日 PV 80 万+）的开发与维护。Independently owned development and maintenance of 100+ high-concurrency H5 feature pages (800K+ daily PV).
- 参与 React Native 跨平台项目（IKRNBundle），独立完成任务中心功能模块，实现 iOS/Android 双端复用。Participated in the React Native cross-platform project (IKRNBundle), independently delivering the task-center module with iOS/Android reuse.
- 推动 TS 落地，核心页面 JS 报错率降至 0.02% 以下；优化 Webpack，Rebuild 效率提升 30%+。Drove TS adoption, reducing JS error rate on key pages below 0.02%; optimized Webpack, improving rebuild efficiency by 30%+.
- 个人独立开发并发布至 VS Code Marketplace 的 VS Code 扩展插件，累计下载量 746+。A VS Code extension independently developed and published to the VS Code Marketplace, with 746+ cumulative downloads.
- 提供快速插入/删除 console.log、console.error 等调试语句的命令与快捷键，优化日常前端调试工作流。Provides commands and shortcuts to quickly insert/remove debugging statements such as console.log and console.error, optimizing the daily front-end debugging workflow.
技术栈Technical Skills
前端框架：Front-End Frameworks: React 18 / Next.js / Vue 3 / UniappReact 18 / Next.js / Vue 3 / Uniapp
跨端开发：Cross-End Development: React Native / 微信小程序 / 抖音小程序 / Chrome 扩展 / VS Code 扩展React Native / WeChat Mini-Program / Douyin Mini-Program / Chrome Extension / VS Code Extension
工程化：Engineering: TypeScript / Webpack 5 / Vite / Tailwind CSS / Docker / PlaywrightTypeScript / Webpack 5 / Vite / Tailwind CSS / Docker / Playwright
后端/数据：Back-End / Data: Node.js / Golang / PostgreSQL / Redis / Drizzle ORM / BullMQNode.js / Golang / PostgreSQL / Redis / Drizzle ORM / BullMQ
AI 工具链：AI Toolchain: Cursor / Claude（AI 辅助编程）· Vercel AI SDK / LLM 多模型路由 / Azure Cognitive ServicesCursor / Claude (AI-assisted coding) · Vercel AI SDK / LLM multi-model routing / Azure Cognitive Services
教育经历Education
统招全日制本科Full-time bachelor's degree (national unified enrollment)