Summary
Fernando Tangoda is an AI Software Engineer with 15+ years of experience architecting cloud-native, .NET microservice platforms and leading cross-functional teams to deliver distributed systems at scale. He specializes in integrating LLMs and multimodal AI into production workflows, having built event-driven automation that turns business requirements into production-ready code and automated asset generation pipelines for film and game proof-of-concepts. Fernando has delivered high-availability payment and ecommerce solutions processing millions of users and millions in monthly transactions, and has deep operational experience on Azure, AWS and CI/CD automation. He pairs hands-on engineering with product-minded architecture, reducing technical debt through pragmatic libraries and standardized integration layers. Notably, he rethought development practices for model interoperability—stitching together Google VEO3, GPT Image-1, Kling and Claude—so heterogeneous AI stacks behave like cohesive platforms. Based in Santa Catarina, Brazil, he blends engineering leadership with a strong track record in turnkey AI-driven automation for enterprise and media use cases.
10 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Information Systems, Bachelor's degree, Information Systems at Centro Universitário do Leste de Minas Gerais
Postgraduate degree, Postgraduate degree at PUC Minas
General English Course, Callan Method, General English Course, Callan Method at City School of English BH
English, Portuguese