hi i'm mario trevino.
Full Stack Developer and AI Enthusiast. Crafting the future with innovative code and a passion for AI-driven technology.
I transform ideas into digital realites
/home
/about me
As Hello! I'm Mario Trevino, a Computer Science major set to graduate from The University of Texas Rio Grande Valley in December 2023. I am on the cusp of beginning a transformative journey as a software engineer, fueled by a deep-seated passion for artificial intelligence and its potential to revolutionize the way we interact with technology.
My academic path has been a mosaic of rigorous coursework, practical projects, and competitive hackathons, all of which have honed my skills and stoked my enthusiasm for this dynamic field. As I eagerly anticipate contributing to real-world applications, my goal is to leverage my background in full-stack development and my fascination with AI to develop solutions that are not only innovative but also have a meaningful impact.
/education
Bachelor of Science in Computer Science
The University of Texas Rio Grande Valley, Edinburg, TX
Graduated: December 2023
GPA: 3.58
During my tenure at UTRGV, I've immersed myself in a curriculum designed to challenge and expand my technical competencies. My academic journey has been marked by both theoretical learning and practical application, highlighted by the following coursework:
Algorithms & Data Structures: Delved into the intricacies of algorithmic design and data organization to build efficient, scalable systems.
Software Engineering I/II: Acquired a solid foundation in software development lifecycle principles, from ideation and design to deployment and maintenance.
Database Design & Implementation: Developed a keen understanding of database architectures, mastering SQL and exploring NoSQL databases for complex data management.
AI Engineering: This cornerstone course sparked my passion for artificial intelligence, offering hands-on experience with AI algorithms and machine learning models.
/latest project
In the forefront of my recent ventures stands the Fridge-to-Recipe Deep Learning Web App: Cuisnify! a testament to innovation in the kitchen. This project is the culmination of cutting-edge AI technology and user-centric design, aiming to transform how we approach meal preparation. made using React, FastAPI and PostgreSQL
Key Features:
AI-Powered Ingredient Recognition: Utilizes an Azure-trained machine learning model to identify over 30 different ingredients from a single fridge photo.
Custom Recipe Curation: Analyzes detected ingredients to suggest recipes, tailored to the user's available items, dietary preferences, and culinary interests.
