David Biertimpel
Software Engineer at TomTom
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolDavid Biertimpel is a software engineer in Berlin with nine years' experience specializing in computer vision and real-time edge deployment. Combining an MSc in Artificial Intelligence from the University of Amsterdam with a BSc in Human-Computer Interaction, he blends theoretical ML rigor with practical software engineering and a nuanced understanding of human factors. At TomTom he focuses on building data-efficient CV systems that encode inductive biases aligned with problem structure, enabling performant models on constrained hardware. He is passionate about translating research into products that improve daily life and has particular expertise in making CV run reliably on edge devices. An understated strength is his interdisciplinary perspective—grounding algorithmic choices in cognitive and interaction principles for more usable, robust systems.
9 years of coding experience
Bachelor of Science - BS, Human Computer Interaction, 1.7 (German system), Bachelor of Science - BS, Human Computer Interaction, 1.7 (German system) at University of HamburgMaster of Science - MS, Artificial Intelligence, 8.5, Master of Science - MS, Artificial Intelligence, 8.5 at University of Amsterdam
English, German
Github Skills (38)
detectron10
segmentation10
visual-recognition10
reinforcement-learning9
algorithms9
object-detection9
bots8
bounding-box8
natural-language-processing7
conversational-ai7
chatbot7
bot-framework7
nlp7
3d-reconstruction6
rasa6
Programming languages (2)
Github contributions (5)
dbtmpl/OPMask
Nov 2020 - Oct 2021
Contributions:30 commits, 7 pushes in 11 months
dbtmpl/Solving-Visual-Object-Ambiguities-when-Pointing
Aug 2019 - Jul 2021
Official implementation of the paper 'Solving visual object ambiguities when pointing: an unsupervised learning approach', published at Neural Computing and Applications 2020
Contributions:2 PRs, 56 pushes, 3 branches in 1 year 11 months
unsupervised-learning
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