Federico Milano is a Senior Embedded Software Architect with over 20 years designing safety-critical, real-time systems across surgical navigation, automotive, and high-volume manufacturing environments, currently shaping embedded architecture at ASML in Eindhoven. He combines deep expertise in scientific and medical image processing (ITK/VTK/CUDA) and modern C++ with growing practical skills in edge ML and computer vision deployment (TensorFlow Lite / PyTorch Mobile / ONNX). Federico has a strong academic background—PhD work and postdoctoral research in computer-assisted surgery with national awards—and has mentored graduate students on ML-driven biomedical imaging. He contributes to notable open-source projects like MITK, improving build reliability and navigation-tool serialization, reflecting a pragmatic systems-level view. Federico is focused on bringing certifiable, reliable AI to constrained embedded platforms and is open to senior roles that bridge embedded engineering and machine learning in medical devices, robotics, semiconductors or autonomous systems.
11 years of coding experience
21 years of employment as a software developer
PhD, Informatics/Computer Science, Medical Image Processing and Computer-assisted Surgery, PhD, Informatics/Computer Science, Medical Image Processing and Computer-assisted Surgery at Instituto Tecnológico de Buenos Aires
Information Systems Engineer, Applied Computer Science, Software Engineering, Information Systems Engineer, Applied Computer Science, Software Engineering at Universidad Tecnológica Nacional
Bachiller, Colegio Nacional de Buenos Aires, Bachiller, Colegio Nacional de Buenos Aires at University of Buenos Aires
Contributions:8 commits, 13 PRs, 2 comments in 1 year 7 months
Contributions summary:Federico primarily contributed to the MITK (Medical Imaging Interaction Toolkit) repository by addressing build issues and refactoring code related to dependencies and warnings. They disabled specific compiler warnings, particularly those related to the `boost` library, to ensure the code could compile correctly. Furthermore, the user modified code related to serialization/deserialization of NavigationTool properties, improving the IGT module. The user's work suggests a strong understanding of the project's architecture and build processes.
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