Summary
Leonardo Ferreira is an AI researcher and software engineer with 10 years of experience, currently working as a postdoctoral fellow on automated, explainable Pap smear diagnosis and teaching AI and data structures at Ânima Educação. He combines a strong academic background (PhD candidate in Artificial Intelligence, MSc in Engineering) with hands-on engineering across Python, C++ and mobile/web stacks, and practical expertise in XAI tools like SHAP, LIME, GPX and Captum. His work bridges research and applied solutions—building image banks, developing and statistically validating ML models, and producing explanations understandable to non-experts in public-sector projects. Previously he applied evolutionary computation (genetic programming) to create transparent regression, classification and clustering models during his doctoral research. Based in Belo Horizonte, he has contributed to government and health-focused innovation programs, demonstrating a consistent focus on interpretable AI for real-world impact. An uncommon strength is his blend of academic rigor and production-aware engineering, enabling traceable, user-centered AI systems for sensitive domains.
10 years of coding experience
1 year of employment as a software developer
Bacharelado em Sistemas de Informação, Planejamento e Desenvolvimento de Softwares, Bacharelado em Sistemas de Informação, Planejamento e Desenvolvimento de Softwares at Universidade Federal dos Vales do Jequitinhonha e Mucuri
Doutorado, Artificial Intelligence, Doutorado, Artificial Intelligence at Universidade Federal de Minas Gerais
Portuguese, English