Summary
Vagner Silva is a Senior Machine Learning Engineer based in São Paulo with nine years of experience building and deploying ML and MLOps solutions at scale, currently helping drive ML engineering practices at Itaú Unibanco. His background spans AI consulting and full-stack development at Accenture, where he delivered chatbots, vision and NLP services, cloud-native deployments, and CI/CD pipelines across IBM Cloud, GCP, Azure and AWS. Trained via a Udacity ML Engineer nanodegree and a full-stack bootcamp, he combines practical data science tooling (TensorFlow, PyTorch, scikit-learn) with production engineering skills (Docker, Kubernetes). Earlier career roles in geophysics and field project leadership give him a strong operational mindset and experience managing cross-site teams and data-quality pipelines. An active contributor with a public GitHub portfolio and Qwiklabs GCP presence, he blends hands-on coding with community-focused learning and knowledge sharing.
9 years of coding experience
7 years of employment as a software developer
Bootcamp Especializaçao Programação densenvolvimento Web / BackEnd /FrontEnd, Bootcamp Especializaçao Programação densenvolvimento Web / BackEnd /FrontEnd at MasterTech
Nanodegree Program Machine Learning Enginner, Nanodegree Program Machine Learning Enginner at Udacity
Bacharelado em Geofísica Geology/Earth Science General, Bacharelado em Geofísica Geology/Earth Science General at USP - Universidade de São Paulo
Portuguese, English, Spanish