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Zhanbo Chen

AI Application Development Engineer

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Profile

Master's student in Computer Science at the University of Illinois Urbana-Champaign, bachelor's graduate in Computer Science and Technology from Capital Normal University (Rank 5%). Focused on AI application development and Java backend engineering, with practical experience in microservices architecture, Docker sandboxing, and LLM integration. Participated in the autonomous driving simulation project at NEVC, and led the development of an online programming training platform and an AI music creation platform.

Education

University of Illinois Urbana-Champaign

Computer Science · Master

2026-08 - 2028-05

Rank: N/A

Capital Normal University

Computer Science and Technology · Bachelor

2022-09 - 2026-07

Rank: 5%

Skills

Java90%

Core development language; familiar with high concurrency, JVM, and the Spring ecosystem

Spring Boot88%

Primary backend framework; familiar with RESTful API design and microservices decomposition

Spring Cloud Alibaba82%

Microservices architecture: Nacos, Gateway, service registration and discovery

Docker80%

Containerization and code sandbox construction; familiar with images, networking, and isolated execution

JavaScript / ES678%

Frontend and full-stack development; familiar with Vue.js and Node.js

AI / LLM Integration82%

Large language model application development; wrapping Python AI capabilities with FastAPI

Git / Linux85%

Team collaboration workflows, version control, Linux operations and deployment

Computer Science Fundamentals80%

Computer networks, algorithms and data structures, operating systems, computer organization

Projects

在线编程训练平台

基于微服务架构与大语言模型的智能刷题系统

基于 Spring Cloud Alibaba 搭建的微服务架构在线判题与智能问答系统,支持多语言代码沙箱、智能问答与可扩展判题策略。

JavaSpring Cloud AlibabaSpring BootNacosDockerMySQLRedisLLM
  • 基于 Spring Cloud Alibaba 搭建微服务架构,拆分为用户服务、题目服务、判题服务、智能问答服务等模块
  • 通过 Nacos 实现服务注册与发现,保障微服务间的高可用调用
  • 设计在线判题模块,基于 Docker 构建代码执行沙箱,实现用户代码隔离运行、结果评测与执行信息记录

MusicLens AI 音乐创作与分析平台

AI 驱动的音乐生成、情绪分析与作品管理平台

前后端分离的 AI 音乐平台,提供音乐生成、作品管理、情绪分析、AI 封面生成与图片文字识别等能力。

Spring BootFastAPIPythonAI APIVue.jsMySQL
  • 设计并实现前后端分离架构,基于 Spring Boot 构建用户端与管理端后端服务
  • 搭建独立 AI 服务模块,基于 FastAPI 封装 Python AI 能力,完成音乐情绪分析等智能功能
  • 集成第三方 AI 服务,实现基于提示词和歌词的音乐生成、AI 封面生成以及图片文字识别

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