About Me

I’ve been passionate about computers and robotics since I was a kid. My curiosity for how intelligent systems work started back in university, where I was first introduced to Artificial Intelligence. Over the years, I’ve continued to build on that early interest by learning, experimenting, and gradually expanding my knowledge in the field.

I’m a Computer Engineer with a strong passion for AI, which recently led me to complete a specialized Master’s degree with the goal of pivoting my career toward a field that truly motivates me. Throughout the program, I gained a solid foundation in Machine Learning, Natural Language Processing, and Generative Models — and it became clear that I want to dedicate my career to solving real-world problems through these technologies.

Professionally, I’ve worked as an Android Developer in both startups and tech companies. In recent years, I’ve been part of platform teams focused on process optimization, mobile architecture, and engineering efficiency.

I enjoy tackling complex problems, researching solutions, and learning throughout the process. Now, I’m determined to apply that same mindset to continue developing as a professional in the AI space.

I'm a methodical and curious person with a strong commitment to development best practices. Throughout my career, I’ve embraced principles like SOLID, Clean Architecture, and TDD — always striving to deliver clean, maintainable, and efficient code.

I also love to automate, measure, and improve. Recently, I worked on a personal project using generative AI tools such as LangChain, where I developed a system capable of estimating the risk and feasibility of construction budgets based on data from public tenders. The system analyzed inputs, generated visual insights, and automatically delivered a complete PDF report. This experience deepened my understanding of conversational AI flows, LLM integration, and automated content generation for decision-making support.