Summary
Bernardo Galvão is a Senior ML Engineer with 10 years of experience building and operationalizing machine learning systems from research to production, currently at MoonPay. He combines a research background in computational intelligence and radiomics with hands-on MLOps expertise—designing Argo Workflows, Kubernetes CronJobs, Airflow DAGs, and CI/CD checks that cut cloud costs and improve model observability. Bernardo has implemented production monitoring using NannyML, Prometheus, Grafana and Loki, and has practical experience integrating AWS SQS/S3 events for robust pipelines. Based in Madeira, Portugal, he blends academic rigor from NOVA IMS with pragmatic engineering, and has a track record of turning experimental models into reliable, cost-conscious services. An experienced collaborator, he often adds automated tests and pre-deployment safeguards that catch data and training inconsistencies before they hit production.
9 years of coding experience
5 years of employment as a software developer
Master's degree Advanced Analytics, Master's degree Advanced Analytics at NOVA IMS Information Management School
Bacharelado Economia, Bacharelado Economia at Universidade Católica Portuguesa
Bacharelado Economia, Bacharelado Economia at University of Mannheim
English, Portuguese, German