I'm a Software Engineer at Globo, where I work on backend and platform infrastructure for large-scale media processing and streaming systems.

My work involves distributed and asynchronous systems, cloud infrastructure, observability, workflow orchestration, and video processing. I currently work primarily with Go, Python, Google Cloud, Kubernetes, Temporal, and Terraform, building systems that operate at large scale and directly support Globo's media processing infrastructure.

Alongside engineering, I'm pursuing a B.Sc. in Artificial Intelligence at UNIVESP. Before that, I studied Computer Systems at UFF and Engineering at CEFET-RJ.

I'm particularly interested in problems at the intersection of software engineering, mathematics, and artificial intelligence. This includes the mathematical foundations of machine learning, information theory, distributed systems, algorithms, and the theoretical foundations of computer science.

I enjoy understanding systems from first principles, going beyond abstractions to understand how things work underneath. I'm constantly studying, experimenting, and looking for harder problems that push me to learn faster and deepen both my theoretical and engineering foundations.