Summary
Rafael Holanda is a Senior Data Scientist and PhD candidate in Computational Intelligence with six years of experience applying deep learning, biosignal and speech processing, and NLP to real-world products. Trained as a Control and Automation engineer and with a master’s focused on arrhythmia classification, he bridges rigorous academic research in biosignals with hands-on ML engineering for edge and resource-constrained systems. He has progressed from embedded systems internships and research in path planning to production ML roles at SiDi and now CESAR, demonstrating end-to-end pipeline ownership from preprocessing to model evaluation. Comfortable with both structured and unstructured data, Rafael brings a practical knack for deploying AI where compute and power are limited—an asset for embedded health and speech applications.
6 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computational Intelligence, Doctor of Philosophy - PhD Computational Intelligence at Universidade de Pernambuco
Exchange Student Conception des Systèmes Intégrés, Exchange Student Conception des Systèmes Intégrés at Ecole Nationale d'Ingénieurs de Tarbes - ENIT
Portuguese, Spanish, French, English