Summary
Vilson Rodrigues is a Machine Learning Engineer with nine years of experience building end-to-end AI systems, from data pipelines and classical ML to deep learning and on-device inference. He has driven production computer vision and generative AI projects at scale—reducing compute costs by 90% and achieving F1 scores around 95%—using PyTorch, TensorFlow, ONNX and NVIDIA tooling on cloud and on-prem infra. Comfortable across the MLOps stack, he implements containerized inference, GPU migration, monitoring and model quantization while orchestrating pipelines with Kubernetes, Kubeflow and CI workflows. Early work in education analytics and current research in federated learning for breast cancer detection underline his blend of applied impact and research curiosity. Also experienced in Solidity smart contracts and Hugging Face transformers, he’s an experimenter who likes to reengineer legacy code into clean, object-oriented systems and capture operational metrics for repeatable performance.
9 years of coding experience
5 years of employment as a software developer
Técnico em Informática, Técnico em Informática at Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
Federal University of Rio Grande do Norte
English