Simon Deussen
Machine Learning Engineer at control-f
Cologne, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolSimon Deussen is a Machine Learning Engineer based in Cologne with nine years of experience building data-driven applications and production ML systems. He has progressed from machine vision and frontend prototyping in automotive settings to hands-on ML roles at inovex and currently at control-f, combining research-driven models with pragmatic deployment. His background blends media informatics and a master's in autonomous systems, enabling him to bridge UX-aware model design (e.g., converting screen designs to HTML/CSS) with scalable analytics pipelines. Colleagues know him for turning experimental deep-learning ideas into user-facing tools and interactive dashboards that deliver real-time value.
9 years of coding experience
2 years of employment as a software developer
Master Autonomous Systems, Master Autonomous Systems at Bonn-Rhein-Sieg University of Applied SciencesWirtschaftswissenschaften, Wirtschaftswissenschaften at University of KonstanzBachelor of Science - BS Medieninformatik, Bachelor of Science - BS Medieninformatik at Stuttgart Media University
English
Github Skills (18)
segmentation6
semantic5
semantic-segmentation5
shell-extension4
crossword4
ansible-collections4
deep-learning4
dos4
tensorflow3
control-center3
gjs3
reinforcement-learning2
gnome-shell2
pygobject2
shell2
Programming languages (5)
Github contributions (5)
eherrerosj/AIHackathonAMS
Jun 2017 - Jun 2017
Contributions:26 commits, 3 pushes in 2 days
SimonDeussen/pix2code
Aug 2018 - Oct 2018
pix2code: Generating Code from a Graphical User Interface Screenshot
Contributions:65 pushes in 2 months
graphicaluser-interfacegraphical-user-interfacescreenshot
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