Florian Blume is a machine learning researcher and engineer with 11 years of experience, holding a PhD from TU Berlin focused on context-aware facial expression recognition using multi-modal deep learning. He combines strong academic research—spanning self-supervised and generative methods, LLMs, and context-augmented perception—with hands-on engineering, evidenced by an open-source 6D pose annotation tool (6D-PAT) that gained community attention on GitHub. His background includes interdisciplinary projects in biomedical imaging and surgical instrument localization, plus practical software development from mobile and backend roles to production ML deployments. Florian has developed leadership and project management skills during his PhD and currently applies them in industry roles in Berlin, bridging research rigour with product-oriented engineering. He is seeking roles as a machine learning research scientist or engineer where he can leverage both experimental methods and scalable implementation experience.
11 years of coding experience
5 years of employment as a software developer
Diplom (master equivalent) Computer Science, Diplom (master equivalent) Computer Science at Technische Universität Dresden
Doctor of Philosophy - PhD Computer Visison & Machine Learning, Doctor of Philosophy - PhD Computer Visison & Machine Learning at Technische Universität Berlin
Contributions:20 pushes, 1 branch in 5 years 2 months
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