Dustella
d9e64e1181
- Simplified skills section: reduced from 15 to 10 items, added performance optimization and toolchain expertise - Refactored project descriptions: focused on business value and key achievements over technical details - Enhanced readability: added bold formatting to highlight key metrics and technologies - Added comprehensive background notes in project files for interview preparation - Created CLAUDE.md for future Claude Code instances Key improvements: - GuiiAI: emphasized hackathon win, early market entry, and engineering challenges - NuistShare: highlighted 10s→0.5s optimization and Lighthouse 97 score - Mihome: stressed sole responsibility for overseas markets and RTL adaptation - Maiqu: showcased team leadership and agile development practices 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
48 lines
1.4 KiB
Typst
48 lines
1.4 KiB
Typst
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// Import
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#import "@preview/brilliant-cv:3.1.2": cvSection, cvSkill, hBar
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#let metadata = toml("../metadata.toml")
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#let cvSection = cvSection.with(metadata: metadata)
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#cvSection("开发技能")
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// #set text(weight: 400)
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#set strong(delta: 300)
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#columns(2)[
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=== 前端开发
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- 熟练使用 *Vue 3* 全家桶（Vue Router、Pinia、Composition API）进行项目开发，有多个完整项目经验
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- 熟悉 *React Native* 开发，在小米实习期间负责米家大家电插件的开发与迭代
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- 熟悉 *TypeScript*，能够进行类型安全的前端开发
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- 有 *国际化（i18n）* 和 *RTL 布局* 实践经验，参与过出海产品开发
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- 有 *前端性能优化* 经验，曾将项目首屏加载时间从 10s 优化到 0.5s，Lighthouse 评分提升至 97
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- 熟悉 *Vite* 构建工具，开发过 Vite Plugin，了解前端工具链和构建优化
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- 熟悉使用 *Uniapp* 开发跨平台小程序应用
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#colbreak()
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=== 后端与数据分析
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- 熟练使用 *Python* 进行数据处理，熟悉 Pandas、NumPy 等数据分析库
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- 有 *PyTorch* 深度学习模型训练经验，研究方向为点云分割与配准
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- 有计算机视觉项目经验（语义分割、目标检测），使用过 LoRA 微调 SAM 模型
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- 使用过 *Flask/Quart* 构建后端服务，了解 NestJS、Prisma 等现代后端技术栈
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- 熟悉 *RESTful API* 设计，了解 WebSocket、EventStream 等实时通信协议
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]
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// #pagebreak()
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