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Zijian Zhong

Software Developer

Biography

Zijian(Kevin) Zhong is a recent graduate with a master's degree in Computer Science from the University of Southern California with a robust background in software development, research, and project management.
He has strong expertise in programming languages such as Python, JavaScript, Java, and C++, as well as in frameworks like React, Angular, and Spring Boot.

Education

  • Master of Science in Computer Science, 2024
    • University of Southern California
  • Bachelor of Science in Computer Science, 2022
    • University at Buffalo, SUNY

Certifications

  • AWS Certified Developer - Associate
  • AWS Certified Solutions Architect - Associate
  • AWS Certified Cloud Practitioner

Skills

Programming Languages

  • Python, Java, C, C++, C#, Scala, JavaScript, TypeScript, OCaml, SQL, HTML, CSS

Frameworks & Libraries

  • Unity, Spring Boot, React, Angular, REST API, Bootstrap, Tailwind, Flutter, NodeJS, OpenGL

Tools & Cloud Platforms:

  • AWS, GCP, Docker, MongoDB, MySQL, Git, Zenhub

Experience

Research Assistant

Jan 2021 - Sept 2021

Universitry at Buffalo (National Science Foundation)

  • Engineered cross-platform mobile applications in Flutter to facilitate research data collection on Android and iOS devices
  • Collaborated with interdisciplinary teams to refine app design, implemented features, and enhanced user engagement
  • Processed and analyzed complex datasets using Python for stress measure and prediction
  • Co-author of research paper "Stress prediction using micro-EMA and machine learning during COVID-19 social isolation."

Projects

  • eBay Shopping Web App

    A customized online shopping platform that leverages eBay API with responsive web design. With filters base on various features (Location, Price, Distance, etc.), recommend similar items, and 'Save & Buy Later' function.

    Tech Stack: Angular, Bootstrap, JavaScript, TypeScript, MongoDB, NodeJS, Express, Docker, Restful API, AJAX, Google Cloud Platform

    Details
  • UB Marketplace

    Course team project to build an online used item trading platform specifically for UB students. Simulate with real-world working environment with an assigned project manager.

    Tech Stack: Java, JavaScript, Spring Boot, MongoDB, React, Heroku, ZenHub, CI/CD

    Details

Publications

  • Li, H., Zheng, E., Zhong, Z., Xu, C., Roma, N., Lamkin, S., Von Visger, T. T., Chang, Y.-P., & Xu, W. (2022). Stress prediction using micro-EMA and machine learning during COVID-19 social isolation. Smart Health, 23, 100242.