Responsible for all machine learning models at Bank of BrazilConfigured LLM models Configured machine learning models in production using libraries like triton client to define configurations for model deployment on Triton Inference Server, including input and output specifications, batching, and optimization settings.Leveraged the Watson OpenScale Python SDK to register models, configure monitoring pipelines, and analyze performance metrics (accuracy, fairness, drift) for bias detection.

Responsible for deploying artificial intelligence models at Bank of Brazil and monitoring their performance through Watson OpenScale.

Acquired practical experience with MAIA model evaluation engine and gained initial familiarity with the Triton Inference Server at Bank of Brazil