Hernan Badino is an engineering director and computer vision expert with over 15 years of experience turning advanced perception research into production-grade systems. He currently leads Calibration & Data Strategy at Meta Reality Labs, owning sensing integrity for exabyte-scale volumetric capture pipelines that power photorealistic avatars and XR research. A hands-on leader, he has scaled multidisciplinary teams of 30+ engineers, scientists, and hardware specialists while retaining deep architectural ownership of calibration models and system design. His work spans foundational SLAM and visual odometry to large-scale camera-and-light calibration across tens of thousands of devices, and he drove a cross-disciplinary redesign that dramatically improved calibration reliability in capture domes. Trained at Goethe University and Carnegie Mellon, he combines academic rigor (KITTI benchmark–leading work) with practical hardware-aware solutions that anticipate thermo-mechanical failure modes. Based in Pittsburgh, he is known for bridging silos between ME/EE and CV/ML to accelerate delivery of mobile-ready, research-driven products.
12 years of coding experience
7 years of employment as a software developer
Post Doc. Real-time robot and computer vision., Post Doc. Real-time robot and computer vision. at Goethe University Frankfurt
Engineer Informatics, Engineer Informatics at Universidad Tecnológica Nacional
Postgraduate Degree, Postgraduate Degree at Carnegie Mellon University
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Hernan Badino - Engineering Director Calibration & Data Strategy