Summary
Diogo Santiago is an AI Architect based in São Paulo with 11 years of experience designing and deploying production AI and big data solutions across finance, telecom, e-commerce, and industrial safety. He blends deep learning and computer vision expertise—ranging from pose estimation and GAN-based style transfer to attention-based radiomics—with hands-on big data engineering using Spark, Hadoop, Kafka and cloud platforms. At Oracle he now helps customers identify AI use cases, plan capacity, and adopt contemporary architectures, building on prior roles delivering routing optimization, video/image automation, and large-scale data lakes. Diogo combines academic training in precision medicine and business-focused MBAs with pragmatic engineering practice, often moving research ideas into production constraints-aware systems. An uncommon strength is his cross-domain fluency: he can architect enterprise-grade data platforms while tuning neural models for real-world video and safety applications.
11 years of coding experience
15 years of employment as a software developer
Fédération Internationale de l'Art Photographique
Master's degree Precision Medicine Attention Mechanism Transformers Radiomics Analysis, Master's degree Precision Medicine Attention Mechanism Transformers Radiomics Analysis at FEI
Master of Business Administration - MBA Data Science for Finances, Master of Business Administration - MBA Data Science for Finances at XP Educação
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade do Vale do Itajaí
English, Portuguese