Summary
David Carreira is a Machine Learning Engineer with 15 years of technical experience and a Master's in Instrumentation and Engineering Physics who specializes in computer and artificial vision. He developed a deep face recognition system for online student identification as his thesis, demonstrating hands-on expertise with RetinaFace, ArcFace fine-tuning, TensorFlow/PyTorch, and production tooling like Docker. At VISTeam he helped build ICAO-compliant verification models and curated a domain-specific dataset, and he now applies ML to ad monetization at BRNDTS, blending research rigor with product-focused engineering. A lifelong tinkerer, he combines physics-rooted analytical thinking with practical ML deployment, and his background in spectroscopy-based research hints at strong experimental and data-collection instincts rarely seen in typical ML engineers.
15 years of coding experience
1 year of employment as a software developer
Master's Degree in Instrumentation, Engineering Physics, Master's Degree in Instrumentation, Engineering Physics at University of Coimbra
Bachelor's degree, Bachelor's degree at Universidade de Coimbra
English, Spanish