Summary
Bruno Manzanedo is a Data Scientist with 11 years of experience combining a double degree in Mathematics and Computer Engineering with hands-on machine learning and computer vision development. He builds mathematical-heavy ML systems—from time series forecasting and differentiable programming to neural architecture search and one-shot learning—and deploys them in production-aware pipelines using Docker, DVC, Slurm and related tooling. At ITCL he delivered award-winning and production-ready solutions such as a road regularity index using phone inertial sensors, pollution-aware routing for Madrid, multi-view video synchronization for photogrammetry, and flexible person/gesture detection stacks. He is fluent in Python and C++, comfortable in functional languages like Scala, OCaml and Julia, and skilled at introducing reproducible workflows that improve team agility and traceability. Known for translating complex algorithmic trade-offs into clear, client-friendly explanations, he thrives in multidisciplinary teams and fast-paced R&D settings. Currently at TECNALIA, he continues to bridge research and deployment, focusing on robust, statistically grounded AI systems.
11 years of coding experience
3 years of employment as a software developer
Double degree, Mathematics & Computer Engineering, Double degree, Mathematics & Computer Engineering at Universidad de Granada
Spanish, English