Tobias Senst
Senior Machine Learning Engineer at idealo internet GmbH
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolTobias Senst is a Senior Machine Learning Engineer based in Berlin with eight years of experience bridging academic research and production ML systems. After a decade-plus research trajectory at TU Berlin culminating in a Dr.-Ing. (summa cum laude), he now drives model development and deployment at idealo, progressing from Machine Learning Engineer to senior roles since 2020. He combines strong theoretical foundations in technical informatics with hands-on expertise shipping real-world recommender and ranking solutions at scale. Known for translating complex research ideas into robust, maintainable pipelines, he brings an unusually deep academic rigor to product-focused engineering.
9 years of coding experience
10 years of employment as a software developer
Dr.-Ing., Technische Informatik, Summa cum laude, Dr.-Ing., Technische Informatik, Summa cum laude at Technische Universität BerlinDiplom-Ingenieur, Information Technology, Diplom-Ingenieur, Information Technology at Otto-von-Guericke-Universität Magdeburg
German, English
Stackoverflow
2,750reputation
1.2mreached
94answers
5questions
opencv
top-1%
computer-vision
top-5%
Github Skills (42)
opencv10
artificial-intelligence10
python10
video-processing10
python-interface10
multi-object-tracking10
matlab10
feature-tracking10
optical-flow10
ai10
computer-vision10
mex10
data-science9
cpp-library9
pytorch9
Programming languages (5)
Github contributions (5)
tsenst/RLOFLib
Jun 2017 - Jan 2019
Robust Local Optical Flow (RLOF)
Contributions:1 release, 36 commits, 55 pushes in 1 year 6 months
optical-flowcomputer-visionvideo-processingfeature-trackingtracking
tsenst/CrowdFlow
Sep 2018 - Oct 2019
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
Contributions:1 release, 26 commits, 1 PR in 1 year 1 month
optical-flowcomputer-visiondatasetbenchmark-suitecrowd-analysis
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