Summary
Rafael Ladeira is an AI Engineer with 11 years of experience blending software engineering, quantitative research, and production ML to turn data into deployable, revenue-generating systems. He has led multidisciplinary teams and built in-house infrastructure for signal generation, portfolio optimization and risk management—co-managing a $100M systematic book at Verde Asset Management—before joining Google to focus on AI at scale. His background spans end-to-end delivery from data ingestion pipelines to trade generation, and he has a track record of embedding robust experimentation and continuous testing into production workflows. A former lead data scientist at Itaú, Rafael combines people leadership with deep technical craftsmanship, having also produced award-winning ML products in industrial settings. Based in São Paulo, he pairs academic rigor from a Control and Automation Engineering degree and ML immersion with a pragmatic, impact-first approach to solving complex business problems.
10 years of coding experience
11 years of employment as a software developer
High School Diploma, High School Diploma at Colégio de Aplicação - CAp-COLUNI - UFV
Bachelor’s Degree Control and Automation Engineering, Bachelor’s Degree Control and Automation Engineering at Universidade Federal de Minas Gerais
Machine Learning Immersion Machine Learning, Machine Learning Immersion Machine Learning at Google - Advanced Solutions Lab
Portuguese, English