Beiming Zhang

SWE Intern @ Cloudflare | MCS @ Rice University

Houston, Texas, United States

About

Experience

  • Software Engineer Intern at Cloudflare
    May 2026 - Present · 2 mos

  • Server - Faculty Club @ Cohen House at Rice University
    Mar 2026 - Present · 4 mos

  • Backend Software Engineer at CareConnect (MCT Technology)
    Jun 2025 - Aug 2025 · 3 mos

    • Developed a C# / ASP.NET Core classroom management service with RESTful APIs featuring classroom reservation and check-in modules, resolving classroom management issues for institutions and improving customer satisfaction by 35% • Designed and engineered classroom reservation data models in AWS Amazon RDS (relational database service) and SQL, supporting data fetching and writing from 100+ education providers concurrently • Enabled role-based access control for teachers and admins by implementing stateless JWT authentication and authorization, providing differentiated read/write permissions for users on classroom reservation data

  • Computer Science Teaching Assistant at NYU Shanghai
    Feb 2025 - May 2025 · 4 mos

    • Automated programming assignment submissions and testing using Gradescope, streamlining evaluation for 200+ students and reducing manual grading time by 90% • Created and maintained exhaustive programming lab test cases, ensuring reliability across diverse implementations • Collaborated with a teaching team of four to enhance course delivery, improving feedback turnaround time by 25%

  • Backend Software Engineer at Read.Douban
    Jun 2024 - Sep 2024 · 4 mos

    • Built a Python / Flask labeling platform, streamlining book labeling workflows for editors by incorporating AI generated labels for reference, and displaying labeled/unlabeled books for smooth task tracking, boosting editorial team efficiency by 80% • Supported 8K+ requests / second flash sale peak load by stocking book purchase transactions with MySQL, minimizing response time and avoid heavy load on MySQL using Redis as a buffer, and decoupling transaction info update tasks using RabbitMQ • Deployed the Langflow low-code AI builder on Linux servers with Docker / Kubernetes, enabling the product operations team to build agentic AI applications independently with no coding experience and reducing project turnaround time by 50%