About Me

I'm Thuy-Vy (Twee-Vee) Tran. I'm a junior at Columbia University studying Computer Science and Economics. I'm interested in software development, and learning about new technologies. Currently, I'm working as a Systems Infastructure Intern at Columbia University Department of Computer Science.

Photo of Thuy Vy Tran

Skills & Expertise

Python
Programming Language
Java
Object-Oriented Programming
C++
Object-Oriented Programming
C#
Microsoft Development
HTML/CSS
Web Development
JavaScript
Frontend Development
C
Systems Programming
Unity
Game Development
LaTeX
Document Preparation
Git
Version Control
NumPy/Matplotlib
Data Visualization
Pandas
Data Analysis
NetBeans
IDE
Flask
Web Framework
Bootstrap
CSS Framework
React
Frontend Library
Next.js
React Framework
Express
Node.js Framework
Supabase
Backend & Auth
Figma
Design Tool
MongoDB
NoSQL Database

Experience

May 2025 – Present

Systems Infrastructure Intern

Columbia University Computer Science | Manhattan, NY
  • Deployed backend dashboards monitoring 15,000+ data points/hour, optimizing server health tracking across 25+ distributed research machines via automation.
  • Developed web-based system health tools and automated power usage tracking across 25+ distributed research servers.
  • Collaborated with systems administrators to optimize infrastructure reliability, reducing manual ops by 40%.

Tech: Python, GitLab, Linux, Docker

Sept 2024 - May 2025

Multimedia Assistant

Columbia University School of Social Work | Manhattan, NY
  • Provided technical support to professors, troubleshooting monitors, computers, and classroom technology setups.
  • Managed help desk operations, fielding phone calls for tech issues and resolving them efficiently.
  • Maintained and secured tech equipment, including projectors and computers, ensuring proper functionality and closing procedures.
  • June 2024 – August 2024

    Student Leader

    Columbia Summer Engineering Program | Manhattan, NY
    • Assisted teaching competitive programming in Python, Java, and C++ to 20+ high school students across a 6-week program, improving problem-solving skills through 40+ coding challenges.
    • Supported Data Science course for 15+ students, facilitating hands-on learning of Python libraries (pandas, NumPy) through 10+ data analysis projects and real-world datasets.

    Tech: Python, pandas, NumPy, C++, Unity, C#