Daniel Moura is a Principal AI Researcher with 11+ years building production-grade ML and computer vision systems that bridge product, technology and business. He has scaled edge-deployed deep learning models to hundreds of thousands of devices at Nexar and invented simulators and data platforms at Veniam that directly won major contracts by proving economic value. A PhD-trained researcher and prolific inventor (15 patents, 1K+ citations), he blends rigorous algorithmic work—advancing medical imaging and 3D reconstruction—with pragmatic engineering of data pipelines and trillions-point analyses. He introduced generative techniques to synthesize rare-object imagery and authored SPyQL to make command-line data processing more intuitive. Known for cultivating data-driven teams and clear, critical thinking, he excels at turning complex datasets into compelling business cases. Based in Porto, he combines academic depth with hands-on delivery across research, product and scalable systems.
11 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Faculdade de Engenharia da Universidade do Porto
Post-Graduation Artificial Intelligence, Post-Graduation Artificial Intelligence at Universidade do Porto
Contributions:23 commits, 4 PRs, 18 pushes in 3 years 3 months
pythondatadata-sciencerstatsmachine-learning
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Daniel Moura - Principal AI Researcher at Nexar Inc.