Hello! I'm Maggie Faustino.


I combine technical precision with design intuition, working collaboratively to create interfaces that feel simple, accessible, and enjoyable.

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Illustration of Maggie waving hello

Projects

CareCompare - Capstone Web App (Elevance Health, Alanta, GA) preview 1
CareCompare - Capstone Web App (Elevance Health, Alanta, GA) preview 2
CareCompare - Capstone Web App (Elevance Health, Alanta, GA) preview 3

CareCompare - Capstone Web App (Elevance Health, Alanta, GA)

Full-Stack Development | API Integration | User Authentication | Data Handling | UX/UI Design

Collaborated in a team of four to develop CareCompare, a full-stack web application designed to help users find and compare healthcare providers based on various criteria such as location, specialty, and price.CareCompare organizes and visualizes healthcare pricing data, leveraging machine-readable datasets to enable transparent cost comparisons for users. Utilized React for the front-end interface, Flask for the back-end server, and Supabase for database management. Implemented features such as dynamic search filters, interactive maps (using Google Maps API), and user authentication (using Supabase). Conducted user research and testing to refine the user experience, resulting in an intuitive and responsive application that effectively meets user needs.

Link to Github

Spotify Wrapped - Web App preview 1
Spotify Wrapped - Web App preview 2
Spotify Wrapped - Web App preview 3
Spotify Wrapped - Web App preview 4
Spotify Wrapped - Web App preview 5

Spotify Wrapped - Web App

Full-Stack Development | API Integration | User Authentication | Game Development | Data Visualization | UI/UX Design

Developed a comprehensive Spotify web application that connects to the Spotify API to fetch users' Spotify data and display it in an engaging and interactive manner.The app features personalized 'Wrapped' summaries, showcasing users' top songs and artists through dynamic visualizations. My main contribution was the development of an interactive 'Spotify Heardle' game, where users guess their top songs (or songs from a specified playlist) based on short audio clips. The project emphasizes user engagement through gamification and personalized content, providing an enjoyable way for users to explore their music preferences.

Link to Github

Atlanta Food Finder - Web App preview 1
Atlanta Food Finder - Web App preview 2
Atlanta Food Finder - Web App preview 3

Atlanta Food Finder - Web App

Full-Stack Development | API Integration | User Authentication | UX/UI Design

Developed a full-stack web application that helps users discover restaurants in Atlanta based on their preferences.Integrated Google Maps API to display restaurant locations interactively and implemented search functionality by cuisine, location, and price range. Built features for reading and writing user reviews, saving favorite restaurants, and secure user authentication. Focused on creating a responsive and intuitive frontend using HTML, CSS, and JavaScript while managing backend operations with Django and SQLite. Enabled a personalized user experience by combining data management, map integration, and engaging UI design.

Link to Github

The Traveler - Original Game Boy Advance Game preview 1
The Traveler - Original Game Boy Advance Game preview 2
The Traveler - Original Game Boy Advance Game preview 3
The Traveler - Original Game Boy Advance Game preview 4
The Traveler - Original Game Boy Advance Game preview 5
The Traveler - Original Game Boy Advance Game preview 6

The Traveler - Original Game Boy Advance Game

C/C++ | Software Engineering | Performance Optimization | Game Design

Designed and developed 'The Traveler,' an original adventure game for the Game Boy Advance (GBA) platform using C/C++.The game features a rich storyline, engaging gameplay mechanics, and pixel art graphics, all optimized for the GBA's hardware constraints. Engineered multiple game states with tiled Mode 0 rendering, dynamically manipulating graphics and sprite data during runtime. Focused on creating smooth movement, responsive controls, and natural state transitions while optimizing memory and CPU usage to ensure high perforamnce on resource-constrained embedded hardware. The project involved extensive testing and debugging to deliver a polished final product.

Link to Github