Summary
Fernanda Ferreira is a software developer and PhD researcher in Electrical Engineering at UNICAMP with nine years of experience focused on speech recognition, machine learning, deep learning, and digital signal processing. She combines applied research in keyword spotting and isolated speech recognition with hands-on software development at SiDi, bridging algorithmic innovation and production systems. Her background includes work in affective computing and electronics labs, giving her a pragmatic edge in experimental design and embedded signal workflows. Early roles in electrical engineering and manufacturing cultivated a methodical approach to testing and robustness that informs her ML model evaluation. Based in São Paulo, she brings academic rigor and real-world engineering discipline to voice AI projects.
9 years of coding experience
2 years of employment as a software developer
Electrical / eletronic engeering, Electrical and Electronics Engineering, Electrical / eletronic engeering, Electrical and Electronics Engineering at Centro Universitário Salesiano de São Paulo
Master degree in electrical engineering, Machine learning and digital signal processing, Master degree in electrical engineering, Machine learning and digital signal processing at Universidade Estadual de Campinas