AA

André Paulo Dantas de Araújo

Universidade Federal Fluminense Instituto de Computação

ORCID iD 0009-0000-8195-7485

About

I'm PhD Candidate in Computer Science at the University Federal Fluminense - UFF, I combine my academic research and practical skills to develop innovative and scalable solutions for complex problems. I worked at the Brazilian Navy for 8 years as a software engineer.

My current research focuses on machine learning methods using reinforcement learning, while my current project involves developing micro-services systems for training models based on neural networks for interpretation, information extraction. I work with a variety of technologies, such as Springboot-Java, PostgreSQL, Azure, Kafka, Docker, Kubernetes, Gitlab, Jenkins, Swagger API, Angular, ReactJS, NodeJS, and Python Flask. I am passionate about creating intelligent and efficient solutions that can improve the performance and quality of processes and products in various domains.

Employment

  • Universidade Federal Fluminense Instituto de Computação PhD Candidate
    2022 - 2026

Education

  • Universidade Federal Fluminense Instituto de Computação Master Degree
    2019 - 2022

Projects & Funding

Projects & funding information is unavailable.

Publications (8)