Pol Santolaria is a software engineer with a PhD and over a decade of experience applying computer vision and 3D scene understanding to medical imaging, construction automation, and spatial audio tooling. He blends academic rigor with industry pragmatism—moving from PhD research and medical imaging startups to roles at Scaled Robotics and Dolby where he shipped production-grade perception and SDKs. Pol has led teams and technical initiatives, pairing hands-on 3D reconstruction and robotics work with backlog and debt management to drive product impact. Based in Barcelona, he prefers tackling real-world inefficiencies—most notably reducing waste in construction via automated 3D reconstruction—and brings an inventor’s curiosity (and a taste for whimsical metaphors) to practical engineering.
10 years of coding experience
15 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Universitat Autònoma de Barcelona
PhD Computer Science, PhD Computer Science at Universitat Pompeu Fabra
pICP: plain Iterative Closest Point, a no-frills implementation in C++ of a simple rigid 3D registration algorithm. Easy to integrate, uses minimal dependencies.
Contributions:33 commits, 2 PRs, 14 pushes in 1 year 11 months
A 3D Scene Registration Method via Covariance Descriptors and an Evolutionary Stable Strategy Game Theory Solver
Contributions:24 commits, 2 PRs, 1 push in 1 year 8 months
covariance3d-scenemethodregistrationsolver
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