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This portfolio highlights my passion for technology and my commitment
to best practices.
I have acquired fundamental knowledge and skills in various areas of
programming, allowing me to contribute to innovative solutions.
Let's build something amazing together!
My journey into the world of technology began here, exploring the fundamentals of logic and programming at FORTEC São Vicente.
I developed my first projects, most notably "Fardo," an AI inspired by Amazon's Alexa.
With 15 years old, I was one of the few students selectively nominated to compete in the Brazilian Olympiad in Informatics (OBI), a milestone that validated my aptitude for the field.
My team and I won 1st place in the FATEC Rubens Lara Programming Marathon. We were also the first Data Science team to qualify in the InterFATECs Marathon.
My personal project "Fardo" was a highlight at the EXPOTEC 2022 tech fair, where I was tasked with presenting it to the academic and professional community.
In my first semester, I single-handedly wrote an article that was published in a book, contributing with research and knowledge to the FATEC community.
Today, I continue to learn and seek new challenges to create innovative and impactful solutions.
Bots, Web Scraping, Automation, Gen AI, Machine Learning, Web Apps, Websites, Softwares, Wordpress, Moodle
HTML, CSS, JS
PHP, Node.js, Python, Java, C#
MySQL, PostgresSQL, MongoDB
Containers, Virtual Machines, Version Control, Repositories
Azure, Servers, Cyber Security, Networks, Linux, Arduino
Matrioska is an advanced LLM orchestration system featuring a modular, file-based architecture. It breaks down complex software development tasks into ordered files that communicate via a persistent shared state (the "whiteboard"). The system ensures high coherence, sequential code generation, and focuses on minimal, optimized code using CDNs. It is a practical application of Machine Learning concepts to automate and streamline Full Stack development workflows.
A Python script designed to manage local penetration testing lab environments using Docker. This tool is ideal for security studies, simulating attacks, training, and experimenting with various cybersecurity tools and vulnerable systems. The project automates the deployment and management of diverse vulnerable machines and utilities within a secure, isolated internal network, allowing users to precisely control internet access for realistic scenario simulation. It simplifies the setup of complex lab topologies for controlled security practice.
The Self-Custody View project is a lightweight desktop application
built with Electron, offering a simple and highly private way for
users to monitor all their cryptocurrency wallets in one place. It
is a view-only tool that securely tracks real-time balances and
provides portfolio analytics across over 13 major blockchains
(like Bitcoin, Ethereum, and Solana) by using only public wallet
addresses and free public blockchain APIs. Crucially, the app
never asks for or stores private keys or seed phrases, ensuring
that all user data, including custom wallet names and fiat
currency preferences (USD, EUR, etc.), is stored exclusively and
locally on the user's computer in a data.json file.
Use the left mouse button to rotate, right mouse button to move the camera, and scroll to zoom.
Experience the projects in action with full functionality
All demos run in isolated environments for security
These are actual working implementations, not mockups
