Summary
Bruno Klein is a Sr. Machine Learning Engineer with a decade of experience building production ML systems for large enterprises, currently helping Latin America’s largest corporations realize business outcomes on AWS. He combines deep hands-on expertise in Python, PyTorch, scikit-learn, xgboost and Go with cloud-native deployment patterns (Docker, Kubernetes, CI/CD) to ship robust anomaly detection and streaming pipelines. At SAP he led teams and architected solutions that turned research into product features, including creative NLP work with embeddings on very limited data. Earlier work spans medical imaging (ResNet and U-Net models for X-ray tasks) and mission-critical ERP systems where he optimized databases and performance by orders of magnitude. Known for mentoring through pair programming and advocating SOLID/DRY practices, he blends technical leadership with pragmatic engineering. Based in São Paulo, he focuses on maximizing customer value from ML rather than just model accuracy.
10 years of coding experience
10 years of employment as a software developer
BSc, Computer Science, BSc, Computer Science at Universidade do Vale do Rio dos Sinos
English, Portuguese