Things I built that are live and used by real people: brand websites, a product of my own, campaigns for Brazil's biggest carmakers, and systems serving millions of people.
An app that ends the argument over splitting the bill at the bar. Everyone pays for what they had, the owner photographs the menu to update prices, and a ready-made report arrives at the end of the week.
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The website of an occasion-wear atelier: collection photos fill the whole screen, load fast on mobile, and take the customer straight into the WhatsApp conversation — which is where the dress is actually sold.
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The website of one of Rio's most sought-after event venues. Visitors see the seaside space, find the section for their type of event, and request a quote without hunting for it — the button follows the entire page.
Case study →The website of a legal consulting firm: sober, direct and easy to find on Google — because people looking for a lawyer need to trust before they even call.
Case study →For three years I built the pages where Brazil meets Fiat, Jeep and RAM cars — including the national launch of Fiat's first hybrids, with a fixed date and the whole country watching.
Case study →The app patients of one of Latin America's most respected hospitals use to follow their care — built to work well precisely when the person isn't well.
Case study →Signing up for piped gas used to require phone calls and paper. I built the digital journey that lets you do it online, from the first field to customer service — at South America's largest natural gas distributor.
Case study →As a Computer Engineering student, I couldn't see how much of the degree I had already completed. I built the tool that shows it in charts — and helps plan the next terms.
Case study →Laboratory
Outside of work, I use projects to learn what I don't master yet. This is where I get to fail freely — and it's why, on a client's project, I already know what works.
Models trained from scratch for financial time series and medical data classification — part of my Computer Engineering degree at UERJ.
Recurrent models applied to 1-minute financial time series, using 5-minute sliding windows to predict the next price movement. The real challenge isn't the network architecture — it's the preprocessing: per-window normalization, handling market gaps, and avoiding data leakage between train and test.
A comparative study of how different architectures and activation functions affect breast cancer detection performance, using real and synthetic datasets. With medical data, the metric that matters isn't accuracy: a false negative costs far more than a false positive.
Implementation and complexity analysis of classic algorithms, with empirical performance measurements compared against theoretical asymptotic behavior.
Corporate systems and backend APIs — the same ground I work on today at Unisys.
A ticket management system in ASP.NET with C#, following the MVC pattern with relational database integration — the same stack as the government systems I maintain professionally.
A public-data collection platform with asynchronous processing and a live-updating dashboard via Socket.IO. Node.js backend with PostgreSQL and simulated Elasticsearch indexing; React frontend consuming the same real-time channel.
A project structure with Next.js on the frontend and Go on the backend, exploring the performance gains of a compiled service for high-frequency API routes.
Applications built end to end, several of them as technical challenges solved on short deadlines.
A system where teachers publish private videos for their students, with authentication, role-based permissions and a REST API. Django backend with PostgreSQL, Next.js frontend.
An API with battle logic based on level-weighted probability, and a Next.js interface inspired by the classics. A full-stack technical challenge delivered with its own backend, frontend and business rules.
A full-stack application with a Django REST API and a React interface consuming the endpoints — an exercise in clean back-to-front integration.