Summary
Filipa Ferreira is a Senior Deep Learning Research Engineer with 11 years of experience specializing in computer vision and uncertainty quantification for safety-critical perception systems. She combines hands-on model development and deployment (PyTorch, 2D/3D detection, odometry, SLAM) with research-led innovation, holding a PhD focused on improving robustness and interpretability of object detectors for autonomous driving. Based in Viana do Castelo, Portugal, she leads Safe AI initiatives at Bosch Car Multimedia and teaches algorithms and data structures at the University of Porto, bridging academic rigor with industrial impact. Known for turning uncertainty estimates into practical safety measures, she has driven cross-disciplinary projects that align technical development with stakeholder needs. Her background includes an exchange at Aalto and a track record of building sensor calibration and multi-sensor infrastructure that moves research prototypes toward production.
11 years of coding experience
3 years of employment as a software developer
Doctoral Program in Informatics Engineering, Deep Learning, Doctoral Program in Informatics Engineering, Deep Learning at Faculdade de Engenharia da Universidade do Porto
Exchange Semester - MsC, Machine Learning, Deep Learning and Data Mining, Exchange Semester - MsC, Machine Learning, Deep Learning and Data Mining at Aalto University
Portuguese, English