About

I'm a Computer Science graduate from Georgia State University (B.S., Dec 2025 — GPA 3.5, Dean's List), incoming M.S. CS student at Georgia Tech (OMSCS, Aug 2026). I build full-stack and AI-assisted apps with Python, JavaScript (Node.js, React), SQL, and modern cloud tooling. Outside code: good food, videography, and Muay Thai.

  • Relevant Coursework: Operating Systems, Algorithms, Data Structures, Systems Programming, Software Engineering, Computer Organization, Mobile App Dev, Web Programming, Data Science.
Vinh at an event

Experience

Headstarter AI — Software Engineering Fellow Jul 2024 – Sep 2024

  • Completed structured assignments in applied machine learning and full-stack development within a remote cohort-based fellowship.

Projects

FinanceFlow – Financial Management Web App

React • Node.js/Express • AWS • Plaid API • OpenAI  |  Aug 2024 – Nov 2024
  • Built a full-stack financial platform using React, Node.js, Express, and AWS with secure Plaid API integration.
  • Implemented automated transaction categorization, subscription tracking, and AI-driven insights using the OpenAI API.
  • Designed RESTful APIs and scalable database schemas to support real-time analytics dashboards.

SmartBook – Mobile Reading Companion

Flutter • Dart • Firebase • Google Books API  |  Jan 2025 – May 2025
  • Developed a Flutter-based mobile app integrating Google Books API for real-time search functionality.
  • Implemented Firebase Authentication and Firestore for secure user account and data management.

TripBoard – Collaborative Trip Planning Web App

React • Node.js • MongoDB  |  Fall 2025
  • Developed a full-stack application using React, Node.js, and MongoDB enabling collaborative scheduling and location planning.
  • Implemented session-based authentication and REST APIs with full CRUD functionality.

Heart Disease Prediction Models

Python • scikit-learn  |  Fall 2025
  • Built and evaluated Logistic Regression and Random Forest models on clinical datasets using scikit-learn.
  • Performed feature engineering and statistical analysis; evaluated performance using ROC-AUC, precision, and recall.
  • Conducted controlled experiments to analyze model robustness and classification tradeoffs.

Large-Scale Data Analysis and Optimization

Python • Pandas • NumPy • Matplotlib  |  Jan 2023 – May 2023
  • Optimized data pipelines using Pandas and NumPy, improving processing performance by ~30%.
  • Built visualizations with Matplotlib to support analytical decision-making.

Technical Skills

Languages

Python Java JavaScript SQL

Frameworks

React Node.js Express FastAPI

Databases

MongoDB PostgreSQL

Tools

Git Docker AWS Google Cloud VS Code

Libraries

Pandas NumPy Scikit-learn Matplotlib

Education

Georgia Institute of Technology — M.S. in Computer Science (OMSCS)  |  Aug 2026 – May 2028 (Expected)

Georgia State University — B.S. in Computer Science  |  Aug 2022 – Dec 2025  |  GPA 3.5  |  Dean's List

Quote

"Be one percent better than you were yesterday."