Hello, I'm

Olivia Le

I’m a Master’s student in Computer Science specializing in Data Science, Databases, and Software Engineering. I build scalable, AI-powered, data-driven applications by combining machine learning, backend systems, and modern full-stack technologies. My focus is on developing reliable, user-centered solutions that deliver real-world impact.

Olivia Le

About Me

My portfolio showcases full-stack applications, AI-powered systems, and data-driven solutions that highlight my ability to solve complex problems and deliver reliable results. I focus on building scalable, practical, and user-centered applications that address real-world challenges.

3+
Years Experience
12+
Projects built

Technical Skills

Frontend Development

React, Next.js, TypeScript, Tailwind CSS, Leaflet, Responsive UI

Backend & APIs

PHP, Python, MySQL, REST APIs, gRPC, Distributed Systems

AI & Intelligent Systems

OpenAI API, Gemini API, LLM Integration, PyTorch, TensorFlow, Scikit-learn, NLP, Data Processing

Development Tools

Git, Docker, Linux, AWS, VS Code, JUnit, JaCoCo, Performance Optimization

Databases & Data

MySQL, MariaDB, PostgreSQL, Data Modeling, Query Optimization

Beyond Code

Outside of coding, I enjoy hiking, cooking, and playing badminton. These activities keep me energized, spark creativity, and help me approach problems with a fresh perspective.

Hiking

Exploring new trails and enjoying the outdoors

Culinary Adventures

Exploring new flavors and enjoying cooking

Badminton

Competing in matches and local tournaments

Education

2026

Master of Science in Computer Science

University of Texas at Arlington

Focused on data-driven systems and software engineering, with hands-on experience building AI-powered applications, scalable backend systems, and full-stack solutions.

2020

Bachelor of Science in Biology (Minor in Psychology)

University of Texas at Arlington

Developed strong analytical and problem-solving skills that translate effectively into software development and engineering.

My Projects

Web-Slinger Dispatch

Developed an AI-powered community-safety web app that crowdsources and visualizes real-time neighborhood incident reports, with multilingual support and an AI chatbot powered by the Gemini API for guided report creation. The app includes a secure, low-latency real-time backend (Convex + Auth0) enabling synchronized multi-user incident mapping with Leaflet, and was built with React, TypeScript, ElevenLabs, and Tailwind CSS for accessibility and responsiveness.

React TypeScript Gemini API Leaflet ElevenLabs Convex Auth0 Tailwind CSS
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U.S. Citizenship Test Study Guide

Developed a full-stack web application to help users prepare for the U.S. naturalization test through interactive study content, flashcards, quizzes, and authentication. Implemented multilingual support with a language toggle to simplify the naturalization process and enhance accessibility. Structured a MySQL database using JSON formatting to efficiently store and retrieve 100+ civics questions in multiple languages.

PHP MySQL JavaScript JSON Responsive Design
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UT Arlington Maverick Badminton Club

Designed and developed the official website for UT Arlington's Maverick Badminton Club using Google Sites. Created an organized platform featuring club information, member registration, event announcements, and contact details. Implemented user-friendly navigation and responsive design to enhance club visibility and member engagement.

Google Sites Web Design Content Management Responsive Layout
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Dynamic Restaurant Finder Using Yelp API

Built a dynamic restaurant search web application integrating Yelp API. Implemented advanced user search filters including location, cuisine type, and result limits. Utilized asynchronous AJAX requests for seamless data fetching.

JavaScript AJAX API Integration
Doctoral Database Web Interface

Engineered a fully functional Doctoral Database web interface using PHP and MySQL. Delivered robust CRUD operations, optimized SQL queries for performance, and designed a responsive front-end with HTML/CSS.

PHP MySQL CRUD Operations
K-Means Clustering Implementation

Implemented a K-Means clustering algorithm entirely from scratch, applied to UCI machine learning datasets. Integrated Elbow Method visualizations to identify optimal K values and validated results against standard libraries.

Python Machine Learning Data Analysis

Get In Touch

I'm always interested in hearing about new opportunities and collaborations.