Profile
I am Junyuan Wang, a Computer Science student at the University of Minnesota, with an
interest in artificial intelligence and software development. Currently, I am expanding my expertise by pursuing
a Master's degree in Information Technology at The Hong Kong Polytechnic University.
Download Resume 下载中文简历
Download Resume 下载中文简历
Education
Bachelor of Science in Computer Science
Sep 2020 - May 2024 at University of Minnesota, Twin Cities, Minneapolis, MN, USA
Master of Science in Information Technology
2024 - 2026 at The Hong Kong Polytechnic University, Hong Kong
Experience
Quantum Approach to Shortest Path Problem
From Research Period at University of Minnesota, Minneapolis, MN, USA
Research on Quantum Approaches using Quantum Approximation Optimization Algorithm to solve the Shortest Path Problem (SPP).
- Conducted extensive research to apply quantum computing techniques to algorithmic challenges.
- Focused on improving computational efficiency and accuracy in finding shortest paths on complex networks.
Research Assistant | Shortest-Path Finder for UMN Campus
From Jan 2023 - May 2023 at University of Minnesota, Minneapolis, MN, USA
Integrated and evaluated distinct path-finding algorithms for optimal campus navigation.
- Transformed raw OpenStreetMap data into a precise campus layout to enhance map accuracy.
- Utilized Python, GeoPandas, and Matplotlib to create a comprehensive map's graph structure.
- Conducted over 1,800 test runs across different algorithms to ensure reliability and accuracy.
- Developed an intuitive website interface using Node.js, Express, HTML, CSS, and JavaScript to present findings.
Full-Stack Web Developer | A Simple Full-Stack Website
From Jan 2023 - May 2023 at University of Minnesota, Minneapolis, MN, USA
Developed a full-stack application for event management.
- Handled the complete software development lifecycle from conception to deployment using Node.js, Express, and MySQL.
- Implemented CRUD operations and integrated a secure login system with unique email validation and session management.
- Enhanced user interface aesthetics and functionality using Pug and custom CSS designs.
AI Developer | Language Model For Music
From Sep 2023 - Present at University of Minnesota, Minneapolis, MN, USA
Pioneered a personalized music recommendation system using GPT-3.5-turbo.
- Customized AI to analyze user inputs and suggest music covering various moods, genres, and languages.
- Integrated OpenAI and Spotify APIs to connect AI-driven recommendations with Spotify's music library.
Skills
- C / C++
- Java
- Python
- Algorithm Design
- Web Development