Education

University of Texas at Arlington

Degree: Bachelor of Science in Software Engineering

Expected Graduation: May 2026

Relevant Coursework: Data Structures and Algorithms, Software Design Patterns, Object-Oriented Programming, Artificial Intelligence, Software Testing, Operating Systems, Linear Algebra
GPA: 3.1/4.0
Programming Languages: C, Java, C#, SQL, SQLite, JavaScript, Python
Web: HTML, CSS, Tailwind CSS, React.js, Next.js, Node.js
Databases MongoDB, SQLite
Frameworks Tools: Flask, TensorFlow
Extracurricular: National Society of Black Engineers, Video Game Developers Organization, Institute of Industrial and Systems Engineers Student Chapter

Projects

Outfit Detection Web Application

Technologies Used: Python, Flask, TensorFlow, OpenCV,Node.js, MongoDB, HTML, CSS, JavaScript

Outfit Detection is a full-stack AI web application built with Python, Flask, TensorFlow, OpenCV, Node.js, and MongoDB. Users upload an image of their outfit, and a trained object detection model identifies clothing items in the photo. The Flask backend handles model inference, while the frontend (HTML, CSS, JavaScript) displays prediction results in a clean, responsive interface. MongoDB stores outfit data for future tracking and analytics features.

Botanical Pi

Technologies Used: React, Python, Flask, C, Raspberry Pi 4, SQLite, HTML/CSS/JS

Developed a full-stack IoT Automated Plant Care System using React, Python, Flask, Raspberry Pi 4, and SQLite. The system monitors soil moisture through sensors connected to a Raspberry Pi and automatically triggers watering when thresholds are met. A Flask backend processes sensor data, while a React dashboard displays real-time readings, historical trends, and plant management tools.

About Me

Hi there! I'm Edosa Justice Aigbuza, a Software Engineering student at the University of Texas at Arlington with a strong interest in Full-Stack development and building scalable, user-focused applications. I enjoy working across the entire stack from designing responsive user interfaces to developing backend APIs and managing databases. My goal is to create systems that are both technically solid and intuitive to use.

I’ve worked on projects that reflect my passion for full-stack engineering, including:

Automated Plant Care System: A full-stack IoT application built with React, Python, Flask, Raspberry Pi, and SQLite that monitors soil moisture in real time and automatically triggers watering when needed. This project strengthened my skills in backend API development, database design, hardware integration, and frontend dashboard creation.
Mav Grades: A full-stack web application designed to help students track academic performance and manage coursework efficiently. Built with modern web technologies, the platform focuses on clean UI design, structured data management, and seamless frontend-to-backend communication.

Currently, I’m pursuing opportunities in Full-Stack Development and frontend development, actively applying my learnings from courses, projects, and internships to enhance my craft. Alongside, I’m updating my portfolio website to reflect my journey and aspirations. Beyond coding, I’m a big fan of gaming, especially playing Apex Legends and developing indie games. I also enjoy thrifting for unique finds and delving into thought-provoking stories like Aristotle and Dante Discover the Secrets of the Universe.

Feel free to reach out if you'd like to collaborate or chat about technology, art, or even gaming and books. Let’s create something amazing together!