George Silva is an MLOps Solutions Architect with 13 years of experience building production-grade ML platforms, currently designing end-to-end MLOps frameworks in the Snowflake ecosystem at phData. He has led cross-cloud migrations, CI/CD and GitOps-driven deployments, and built scalable ML infrastructure for banks, retail chains, and logistics teams across Brazil. Comfortable across AWS, Azure, Kubernetes and Databricks, he blends hands-on engineering—Terraform, ArgoCD, Lambda, Glue—with strategic platform roadmaps and data scientist enablement. Recent projects include a generic anomaly detection system and a GenAI hub, reflecting a focus on both traditional ML and generative AI operationalization. His background ranges from academic research in astronomy to operational stock-prediction solutions, revealing a practical curiosity that bridges research and production. Based in Pernambuco, he pairs technical leadership training with multiple cloud and MLOps specializations to drive repeatable, auditable ML delivery.
13 years of coding experience
1 year of employment as a software developer
Data Engineering, Big Data, and Machine Learning on GCP Specialization, Data Engineering, Big Data, and Machine Learning on GCP Specialization at Coursera
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Universidade Federal do Pampa
Undergraduate, Computer Science, Undergraduate, Computer Science at University of Wollongong
Technical leadership - Postgraduate Degree, Information Technology Project Management, Technical leadership - Postgraduate Degree, Information Technology Project Management at CESAR School
Contributions:1 PR, 39 pushes, 1 branch in 1 year 8 months
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