Bernardo Costa is a Head of Data & AI with a decade of experience building and scaling data, cloud, and ML teams across Brazil, currently leading Data & AI at Inoa and teaching Big Data management at CESAR School. He blends hands-on engineering (AWS, Spark, Redshift, SageMaker) with product-oriented leadership, turning business problems into measurable GenAI and data product outcomes. Bernardo has repeatedly driven cloud partnerships and funding optimization programs while owning KPIs, P&L, and high-performance team development. His background ranges from low-level cloud automation and data engineering to managing 10+ person teams and delivering production ML pipelines and data mesh architectures. He brings an academic curiosity—starting with research on multi-aspect graphs—to practical solutions that emphasize governance, observability, and API-driven data products. Based in Rio de Janeiro, he’s known for clear executive communication and a bias for measurable impact rather than theoretical novelty.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
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