Miguel Ferreira is Head of Data Science in Porto with 11 years of experience building high-fidelity synthetic data systems and deep learning computer vision models, from 3D image generation to pixel-level annotation and object detection/segmentation. He led development of CVEDIA’s core synthetic-data pipeline and now manages research and delivery of production-grade neural networks while shaping commercial value propositions and participating in hiring and client engagements. Technically fluent in Unity, C#, C++ and modern Deep Learning workflows, he bridges simulation, rendering and perception to solve hard data-scarce vision problems. A long-term thinker and pattern-seeker, he combines hands-on engineering with a research mindset and a rare depth in both generative and perceptive image technologies. He occasionally shares insights on his personal blog and has presented conference talks illustrating how synthetic pipelines translate into real-world model performance.
11 years of coding experience
7 years of employment as a software developer
Master's degree Informatics, Master's degree Informatics at Faculdade de Engenharia da Universidade do Porto
Contributions:4 commits, 3 pushes, 1 branch in 1 year 4 months
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