Computer Science · AI & Computer Vision · Full Stack Engineering
Building computer vision systems, AI-powered products and production-ready software.
Computer Science student focused on Artificial Intelligence, Computer Vision and Software Engineering.
I work across the complete development cycle — from experimentation, training and evaluation of Machine Learning models to APIs, interfaces, databases and deployment.
As an undergraduate researcher at Inovisão, I work with applied Computer Vision problems involving object detection, image processing, model evaluation and intelligent systems.
My main goal is to bridge the gap between research and real-world software, turning models and technical ideas into reliable and usable products.
Languages
Python TypeScript JavaScript SQL
Artificial Intelligence & Computer Vision
PyTorch OpenCV YOLO scikit-learn TFLite
Back-end
NestJS Node.js REST APIs PostgreSQL Prisma
Front-end
React Next.js Vite Tailwind CSS
Infrastructure & Tools
Docker Git GitHub Actions
Back-End / Front-End Developer · Prompt Engineer
Development of AI-driven applications, APIs, interfaces, integrations and intelligent workflows.
Undergraduate Researcher · Computer Vision
Applied research in Computer Vision and Machine Learning, including object detection, image processing, model evaluation and experimental development.
Data Science Intern
Data processing and analysis, development of indicators, dashboards and software solutions supporting public-sector decision-making.
From research to production.