Summary
Pablo Santos is a Senior AI/ML Engineer based in São Paulo with over a decade of hands-on experience translating data and ML research into production-grade systems. He currently architects GenAI agents and RAG pipelines at Itaú Unibanco, combining LangChain/LangGraph, Kubernetes, Kafka, and MCP-based integrations to connect LLMs with enterprise APIs and data stores. His background spans MLOps, cloud-native data platforms on AWS, and multi-GPU model deployments, having led scalable projects in recommendations, scoring, and fraud detection. Pablo blends software engineering and data engineering expertise—PySpark optimizations, ETL design, and API development—with practical prompt engineering and multi-agent orchestration. He has a track record as a technical lead delivering high-demand platforms and secure, monitored ML services for large user bases. Fluent in both legacy stacks (.NET, Java, SQL) and cutting-edge AI tooling, he has a rare mix of production discipline and experimentation in GenAI.
11 years of coding experience
4 years of employment as a software developer
Fédération Internationale de l'Art Photographique
Mackenzie Presbyterian University
Técnico em Web Developer, Tecnologia em Informática/Software, Técnico em Web Developer, Tecnologia em Informática/Software at Microcamp Brasil
English, Spanish, Portuguese