Building seamless apps and intelligent AI.
Computer Science at the University of Toronto. Focused on scalable full-stack architecture and intelligent machine learning experiences.
const engineer = {
name: "Ricardo",
school: "University of Toronto",
focus: ["Full-Stack", "AI/ML Systems"],
languages: ["TypeScript", "Python", "Java"],
mindset: "Composed & Rigorous"
};
About Me
Bridging disciplined software architecture and applied artificial intelligence.
The Person Behind the Code
I approach development with a relaxed but rigorous mindset. Whether architecting a full-stack web application or training a neural network, I focus on building technology that feels natural to use and scales effortlessly.
Currently pursuing Computer Science at the University of Toronto, I build elegant solutions to complex computational problems. My work spans modern web systems, machine learning pipelines, and performant cloud backends.
Experience & Education
Academic foundations and practical software engineering.
Computer Science Student
Studying advanced topics in algorithms, data structures, machine learning, and software engineering. Focusing on AI/ML applications and modern web development practices.
Independent Software Developer
Building full-stack web applications, AI-powered tools, and open-source utilities. Specializing in React, Python, TensorFlow, and scalable cloud deployment.
Technical Skills
Core competencies across software architecture and engineering.
Frontend Architecture
Backend & Systems
AI & Machine Learning
DevOps & Cloud
Featured Projects
Open-source packages and systems dynamically synced with GitHub.
Ready for Collaboration
Actively seeking Full-Stack and AI/ML opportunities where technical integrity meets innovative engineering.