• Hebei University of Technology (HEBUT) — B.Eng. in Internet of Things Engineering *2023 – Present

  • Actively study computer science, artificial intelligence, embedded development and cyber security
  • Actively involved in student organizations, cultural exchange, and academic activities

• Massey University, New Zealand — BInfSc Computer Science Exchange / Dual-degree Program

  • Consecutively won the "Excellent Student" award every year
  • Achieved A+ in multiple core courses
  • Focused on IoT system design, cloud deployment, and embedded systems
  • Coursework includes OOP, Data Structures, Cloud Computing, and AI deployment

• Teaching Assistant / Student Leader (Various roles at HEBUT)

  • Assisted in organizing cultural exchange activities such as International Chinese Language Day, May’s Blossoms, and China-canada Chamber of Commerce and Industry Exchange Event
  • Coordinated between international and domestic students, strengthening cross-cultural communication
  • Supported teaching staff in managing course logistics and peer tutoring

• Research & Projects

  • Member of National Undergraduate Innovation Project
  • Experience in AI model deployment: migrating locally trained AI models to cloud servers for web-based visualization
  • IoT system development: designed data acquisition system using ESP32 + 4G for real-time heart-rate monitoring

• Finalist Award — The 7th China University Student Power Battery Innovation Competition
• First Award — The AI Game Development Competition, Hebei University of Technology, 2025

Languages & Tools:

• 📚 Library Management System — Java OOP Course Project

  • Implemented using encapsulation, inheritance, and polymorphism
  • Applied collections, exception handling, and file I/O
  • Features: manage books/journals/movies, borrowing & returning, searching, sorting, and user rating
  • Strengthened understanding of software design, layered architecture, and extensibility

• 🌐 Personal Portfolio Website — Web Design & Development

  • Built using HTML, CSS, JavaScript, and Bootstrap
  • Implemented responsive design for multiple devices
  • Included interactive sections: projects showcase, skills, and contact form
  • Learned front-end layout, user experience (UX), and basic web deployment

• 🏗️ Software Engineering & Architecture Study

  • Studied software lifecycle, UML modeling, design patterns, and system architecture
  • Applied modular design principles in small-scale projects
  • Practiced requirement analysis, version control, and collaborative development

• ⚡ Algorithms & Data Structures — Learning & Implementation

  • Implemented classic sorting algorithms: selection, insertion, bubble, merge, quick, heap, radix
  • Built reusable modules for lists, stacks, queues, trees, and graphs in C/Java
  • Improved proficiency in algorithm analysis, optimization, and code reusability

• 📝 CS Notes — Computer Science Fundamentals

  • Operating Systems: processes/threads, scheduling, synchronization, deadlock
  • Computer Networks: TCP/IP, routing, HTTP/HTTPS, socket programming
  • IoT basics: sensors, edge computing, cloud deployment models
  • Maintained in Markdown as a personal knowledge base

• 💻 Computer Organization & Principles

  • Studied CPU architecture, memory hierarchy, instruction sets, and assembly programming
  • Designed and simulated basic CPU instruction execution using educational tools
  • Gained deep understanding of how software interacts with hardware

• 🛠️ 8051 Microcontroller Projects

  • Developed embedded programs on 8051 MCU using C and assembly
  • Interfaced with LEDs, switches, and sensors for real-time control
  • Learned low-level hardware programming and timing-critical applications

• 🏭 STM32 Microcontroller & Sensor Integration

  • Built IoT prototypes using STM32 MCU with temperature, heart rate, and motion sensors
  • Implemented UART, SPI, I2C communication protocols
  • Connected STM32 to cloud via ESP32/4G for remote monitoring and data logging
  • Enhanced understanding of embedded systems, peripheral control, and sensor fusion

• ☁️ AI Model Cloud Deployment — Cloud Computing & AI

  • Migrated locally trained AI models to cloud servers
  • Deployed with Flask + Nginx, supporting multi-user access
  • Explored Docker-based containerization and automated deployment
  • Gained experience in model serving, scalability, and cloud architecture

• ✉️ Email: [email protected]