Acentua
Implemented a Chrome extension that restores high-confidence Brazilian Portuguese accents locally while users type. The project highlights browser APIs, local-first behavior, text processing, and careful product controls.
Software engineering • practical products
Software Engineering.
Software engineer with a strong foundation in systems programming, cross-platform applications, and practical product development. I build maintainable tools, browser extensions, web apps, and automation with Python, C#, C/C++, and JavaScript. My current focus is software engineering with a growing AI layer: clean architecture, reliable delivery, performance-minded code, and applied LLM knowledge that helps products solve real user problems.
Focus
Software Engineering, Web Apps, Browser Extensions, Automation, and AI/LLMs
Location
Brazil
Experience
Product-focused software with clean, efficient code
About Me
A professional snapshot of my software engineering background and product-focused projects.
I am a software developer focused on building practical, maintainable applications. My background includes systems programming, cross-platform development, and scalable software, with an emphasis on clean code, reliable behavior, and straightforward user experiences. In security-focused work, I led the planning and development of a MachineID feature for banking software.
My current direction is software engineering with practical AI knowledge: building useful tools, shipping polished web products, and strengthening the technical foundations behind them. I am currently studying Generative AI Engineering with LLMs through IBM and continuing postgraduate work in Artificial Intelligence, which adds LLM architecture, prompting, retrieval, and applied AI thinking to my engineering toolkit.
Technical Focus
Software engineering, systems programming, web applications, browser extensions, automation, and AI-assisted workflows. I am expanding into generative AI and LLM engineering while keeping the focus on reliable software, clear structure, and practical value.
Experience
Hands-on experience across C#, C/C++, Python, and JavaScript, with work spanning high-performance applications, browser extensions, PDF/productivity tools, modular codebases, and applied AI learning for product-oriented software.
Core Skills
Technologies and areas I use across product development, systems work, automation, AI learning, and technical projects.
Python
C#
C/C++
JavaScript
Web Applications
Browser Extensions
Software Architecture
Machine Learning
Deep Learning
Generative AI
LLMs
Git / GitHub
Problem Solving
Software Development
Systems Programming
Automation
Featured Projects
Selected software products, tools, and code samples.
NestlyPDF
Built a public PDF productivity web app for everyday document workflows. The project emphasizes a clean user experience, practical file tooling, maintainable web code, and a product that is useful outside the portfolio.
TSnake DOS C++ Terminal Snake Game
Developed a retro-style Snake game in C++ running in a DOS/terminal environment. The project demonstrates low-level game loops, real-time input handling, memory-conscious state management, and practical systems programming.
Python TSnake
Developed a classic Snake game using Python and Pygame with grid-based movement, collision detection, and separated modules for rendering, game logic, and configuration. The project shows clean structure in a compact interactive application.
Education
Formal education and specialized studies supporting my software engineering foundation and current AI/LLM development.
Postgraduate Program — Artificial Intelligence in Football
(Pós-Graduação em Inteligência Artificial no Futebol) — AI, data, and intelligent systems coursework — In Progress
Federal Fluminense University (UFF)
Bachelor's Degree in Computer Systems Technology — software development, systems foundations, and applied computing — 2012
Instituto de Cultura Técnica (ICT)
Technical Degree in Information Technology — programming fundamentals, networks, and practical IT — 2007
Certificates
Generative AI Engineering with LLMs
IBM — LLMs, prompt engineering, RAG, and generative AI application patterns — In Progress
Introduction to Artificial Intelligence with Python
Harvard University — Python, search, optimization, and ML foundations — Completed 2026
Mathematics for Machine Learning: Linear Algebra
Imperial College London — linear algebra, calculus, PCA, and ML foundations — Completed 2026
Claude Code: Software Engineering with Generative AI Agents
Vanderbilt University — Software engineering principles, generative AI agents, and practical applications — Completed 2026