Summary
Nathan Pedroza is a Machine Learning Cloud Researcher and Developer with seven years of experience building AI-driven systems, hybrid cloud frameworks, and full-stack applications. He combines practical ML work in NLP using TensorFlow, scikit-learn and pandas with backend and frontend expertise (Java/Spring Boot, React/TypeScript, Node.js, Angular) and hands-on mobile development in Android and React Native. Currently leading research and development on a Hybrid Cloud Workload Migration framework in partnership with HPE, he has a track record of translating academic research into production-capable software. Enthusiastic about clean code, clean architecture and operating systems, Nathan also pursues personal Android projects in Kotlin and contributes to collaborative research efforts. Fluent in bridging research and engineering, he brings both academic rigor from his dual studies in Computer Science and Electrical Engineering and a practical focus on shipping maintainable systems.
8 years of coding experience
5 years of employment as a software developer
Bacharelado Ciência da Computação, Bacharelado Ciência da Computação at Universidade Federal de Campina Grande