Fullstack Developer (Backend Specialist)
I blend robust full-stack development expertise with a deep passion for computer science fundamentals and machine learning. From elegant user interfaces to complex backend systems.
I’m a full-stack developer with a strong focus on backend systems, frontend design, and system programming. With over five years of experience, I’ve worked with a wide range of technologies to create scalable, efficient solutions.
Projects completed
Clients worldwide
Programming languages
Steven Molina, Full-Stack Developer, based in Argentina. I am passionate about backend development, system languages, and building efficient, scalable applications.
My work spans frontend and backend technologies, from React, TypeScript, and Next.js on the frontend to Python, Golang, and SQL databases on the backend.
Freelance
Moperclub developer
Frupys company
Freelance
University of Buenos Aires
A sophisticated web application showcasing premium entertainment and tourism experiences in Argentina, combining an e-commerce store for sports products and Argentine merchandise with a content-rich travel blog. Built with Next.js 14 and a modern tech stack for optimal performance.
A thoughtfully designed digital platform for the Lienzo de Plata Foundation for Elders, combining elegant design with practical functionality to connect donors with their mission of improving elderly lives. The site showcases the foundation's impact while providing simple donation and contact options.
A modern, engaging frontend web application designed for Frupys Ice Cream, serving as a digital marketing platform where customers can explore unique ice cream offerings, learn about the brand story, and connect with this creative ice cream company. Built with Astro and styled with Tailwind CSS for optimal performance.
A high-performance cache simulator implemented in Rust, designed to model and analyze cache behavior under various configurations. It processes memory access patterns from trace files with configurable parameters like cache size, associativity, and number of sets, providing detailed metrics and insights into cache performance.