Paolo Bonomi is an Algorithm Engineer specializing in CUDA with nine years of experience bridging research-grade algorithms and production systems in computer vision, deep learning, and real-time physics. With an M.Sc. in Computer Science from Università degli Studi di Milano and a background in game development, he blends rigorous algorithmic thinking with practical system design for high-throughput sensor and 3D data pipelines. He has delivered real-time acquisition, sensor calibration, and 3D data analysis solutions across R&D and backend roles, and now drives GPU-accelerated algorithm work at MetaSensing. Paolo favors elegant, reproducible implementations and brings an uncommon focus on physics-informed methods for real-time applications. Based in Lombardy, he pairs academic training with hands-on engineering across the stack, from RESTful APIs to CUDA kernels. His pragmatic creativity is hinted at by a wry GitHub motto that values sustainable originality over constant novelty.
9 years of coding experience
2 years of employment as a software developer
University of Milan
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Università degli Studi dell'Insubria
Contributions:2 PRs, 2 pushes, 2 branches in 1 year 2 months
physics-enginephysicscppengine
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Paolo Bonomi - Algorithm Engineer CUDA at MetaSensing