Summary
Anderson Cavalcanti is a computer science professor and researcher at UFRPE and AIBoxLab with nine years of experience building and deploying AI systems across academia and industry. He holds a PhD focused on Deep Learning and NLP and has applied that expertise to projects spanning LLM fine-tuning, traditional ML (XGBoost, SVM), and advanced architectures (CNNs, RNNs, Transformers). Experienced in end-to-end MLOps, he combines model development in Python/TensorFlow/PyTorch with cloud-native deployment using AWS, Kubernetes, Kubeflow, Docker, Terraform and CDK. He has worked as a senior ML engineer and data scientist in product-focused teams (SiDi, A3Data, CESAR), translating research into production pipelines and automation. A regular publisher in international venues, he brings a researcher’s rigor to practical engineering problems and a knack for bridging cutting-edge NLP research with scalable cloud deployments.
9 years of coding experience
9 years of employment as a software developer
Técnico em Informática - Desenvolvimento de Softwares, Técnico em Informática - Desenvolvimento de Softwares at Escola Técnica Estadual Professor Agamenon Magalhães
Doutorado, Computer Science, Doutorado, Computer Science at Universidade Federal de Pernambuco
Mestre em Informática Aplicada, Ciência da Computação, Mestre em Informática Aplicada, Ciência da Computação at Universidade Federal Rural de Pernambuco