Summary
Carlos Dias is a versatile full-stack software engineer from Rio de Janeiro with over 10 years of experience building production systems across C++, Java, Ruby, TypeScript and Python, and a strong focus on AI, ML Ops and system design. He has shipped high-availability, low-latency infrastructure at Google and Coinbase, architected payment and checkout systems for fast-growth products at Sanar, and rebuilt ML pipelines and automation as a researcher at FGV to scale political and economic insights from social media. Comfortable across front-end, back-end and data science stacks, he combines practical engineering with research-driven approaches (pursuing a master’s in AI) to solve hard problems end-to-end. Notably, he seeks work that increases problem-solving impact on people’s lives and gravitates toward technically challenging projects—if it’s difficult, he finds it interesting.
10 years of coding experience
7 years of employment as a software developer
Bacharelado em Engenharia, Engenharia de Computação, Bacharelado em Engenharia, Engenharia de Computação at Universidade do Estado do Rio de Janeiro
Mestrado, Inteligência Artificial, Mestrado, Inteligência Artificial at UFRJ - Universidade Federal do Rio de Janeiro
Portuguese, English