Skip to content
View dongowu's full-sized avatar
:shipit:
Focusing
:shipit:
Focusing
23 followers · 70 following
  • beijing
  • 22:23 (UTC -12:00)
  • Instagram dongowu

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Block or report dongowu

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
dongowu/README.md

Hi, I'm dongowu 👋

欢迎来到我的 GitHub 主页！

🧑‍💻 关于我

  • 多语言开发者：熟练掌握 JavaScript、Go、Python、Rust、Java 等多种编程语言，能胜任多种开发场景。
  • 全栈能力：具备前端、后端及脚本自动化开发经验，能灵活切换不同技术栈，快速实现产品原型和功能落地。
  • 敏捷学习者：持续学习新技术，善于将工程化思维应用于实际问题解决，拥有较强的自学与知识迁移能力。
  • 项目实践丰富：关注效率工具、知识管理、自动化脚本、算法练习等领域，喜欢用代码提升工作与生活效率。
  • 开源热情：积极参与个人项目和开源实践，乐于总结与分享开发经验。

🧰 技术栈

  • JavaScript / TypeScript
  • Go
  • Python
  • Rust
  • Java

🌱 近期成长

  • 持续维护多语言项目，积累跨栈实战能力
  • 探索自动化、AI 相关工具开发
  • 注重代码工程化和开发效率提升

📫 联系方式

Popular repositories Loading

  1. dongowu dongowu Public

  2. golang-guide golang-guide Public

    Forked from mao888/golang-guide

    「Golang学习+面试指南」一份涵盖大部分 Golang程序员所需要掌握的核心知识。准备 Golang面试，首选 GolangGuide！

    Go

  3. awesome-LLM-resourses awesome-LLM-resourses Public

    Forked from WangRongsheng/awesome-LLM-resources

    🧑‍🚀 全世界最好的中文LLM资料总结

    1

  4. project-layout-structure project-layout-structure Public

    Forked from golang-standards/project-layout

    Standard Go Project Layout

    Makefile

  5. project_rust project_rust Public

    Rust

  6. daily-interview daily-interview Public

    Forked from datawhalechina/daily-interview

    Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

    HTML