Summary
Blanda Mello is an interoperability and Python backend specialist with 11 years of experience combining hands-on software development, data modeling and applied research in health IT. Currently leading interoperability and business management for RNDS at DATASUS while holding an academic post at Universidade Feevale, she bridges national health-data platforms (HL7 FHIR) with practical implementation and terminology governance for the SUS. A PhD candidate and NLP/NLG researcher, her work focuses on semantic interoperability for unstructured clinical data—melding production-grade engineering with novel research methods. She has a strong track record building Python web backends, messaging architectures and integrating NLP resources, and she brings a practitioner’s eye to translating research prototypes into scalable healthcare systems. Unusually for someone in public health IT, she balances policy-level project leadership with deep technical execution and a side interest in biking and books.
11 years of coding experience
7 years of employment as a software developer
Técnologo Sistemas para Internet, Técnologo Sistemas para Internet at Universidade Feevale
Doctor of Philosophy - PhD Inteligência Artificial, Doctor of Philosophy - PhD Inteligência Artificial at Unisinos
Curso de Extensão Python para Processamento de Linguagem Natural, Curso de Extensão Python para Processamento de Linguagem Natural at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP
I Curso HL7 FHIR RNDS HL7 FHIR para RNDS, I Curso HL7 FHIR RNDS HL7 FHIR para RNDS at Instituto HL7 Brasil
Portuguese, Spanish, English