I am a Computer Engineer with more than 6 years of experience in data and 4 years working at the intersection of model development and independent model validation in a highly regulated banking environment.
My background is centered on ML model governance, auditing, and risk management, with hands-on experience validating fraud, AML, and credit risk models under Brazil Central Bank guidelines.
I have worked across the full model lifecycle, from development and feature engineering to validation, monitoring, drift analysis, and audit-ready documentation.
I am comfortable translating technical findings into clear, defensible recommendations for business stakeholders, compliance teams, and regulators.
In addition to validation, I have built predictive models and data pipelines using Python, SQL, Spark, Databricks, and related analytics tools, improving performance and reducing operational effort.
I also bring experience in software development and cybersecurity analysis, which strengthens my ability to assess systems holistically and identify technical and governance risks early.
