Ruiqi Ling
Jersey City, NJ
Education

New York University, B.A. in Computer Science

Jan 2021 to May 2025 at NYU College of Arts and Science

Work Experience

Sangfor Technologies, Software Engineer Intern

From Jun. 2023 to Aug. 2023 at Sangfor Technologies, Beijing, China

  • - Led data collection, organization, and screening for key team projects, improving data accuracy by 20%, supporting Sangfor’s cloud and network security services.
  • - Conducted website and software vulnerability testing, identifying potential weaknesses in code and helping enhance the security of Sangfor’s core network products and reducing potential risks.
  • - Processed and optimized XML file systems, implementing a structured tagging system for 15+ datasets to streamline data management and accessibility.
  • - Collaborated with cross-functional teams to address identified security issues, contributing to improved overall system reliability and supporting Sangfor’s goal of providing secure IT infrastructure to global clients.

Lifelong Learning Lab, University of Michigan

From Mar. 2023 to Aug. 2024

  • - Collaborated with Professor Xu Wang from the University of Michigan on research focusing on the usability challenges faced by older adults when using mobile apps like Meituan, a popular food delivery service in China.
  • - Conducted a think-aloud study and a survey with 137 participants, identifying key accessibility issues such as confusing icons, cluttered interfaces, and hidden default settings.
  • - Led the design and development of a high-fidelity prototype using Figma, introducing features like simplified interfaces, memory aids, and customizable payment options to enhance usability for older adults.
  • - Evaluated the prototype through user testing, which showed a 30% improvement in task completion speed and user satisfaction.
  • - The research provides actionable insights for developers to improve app accessibility and usability, with broader applications across other digital services aimed at older populations.

Publications
Projects

Film reviewing project | Python, pandas, numpy

  • Completed under the supervision of a professor at New York University,I used a list of movie reviews to analyze the preferences of people of different genders as well as ages for movies.
  • Build models to predict how people will rate new movies by analyzing previous movies.

    • Skills
    • Languages: Java, Python, C++, SQL
    • Databases & Big Data: PostgreSQL, MySQL, MongoDB
    • Tools & Frameworks: pandas, NumPy, Express.js, Bootstrap 5, Handlebars.js
    • Version Control: Git, GitHub