Bert De Brabandere
Founder at Segments.ai
Leuven, Flemish Brabant, Belgium
Summary
👤
Senior🎓
Top SchoolBert De Brabandere is the founder of Segments.ai and a computer vision and machine learning specialist with 12 years of experience blending academic rigor and product-driven engineering. He holds a PhD from KU Leuven and completed research stints including a DeepMind internship and a brief postdoc, giving him deep expertise in cutting-edge vision research and practical ML tooling. At Segments.ai he translates research-grade algorithms into developer-friendly annotation and data management products that accelerate model development. His background in electrical engineering from KU Leuven and ETH Zürich grounds his work in signal processing and systems thinking beyond typical software-first ML founders. Colleagues describe him as a researcher-turned-builder who prioritizes reproducible data pipelines and annotation quality as the foundation for robust models. Based in Leuven, he brings a European research pedigree to entrepreneurial productization of CV workflows.
12 years of coding experience
5 years of employment as a software developer
Master of Science (MSc) Electrical Engineering, Master of Science (MSc) Electrical Engineering at KU LeuvenElectrical Engineering and Information Technology, Electrical Engineering and Information Technology at ETH ZürichHigh school, High school at Onze-Lieve-Vrouw-van-Lourdescollege
Dutch, English, French, German
Stackoverflow
3reputation
6kreached
0answers
3questions
Github Skills (82)
parser10
dashboard10
postgresql10
python10
matconvnet10
deep-learning10
gpu10
gpu-acceleration10
robotics10
acceleration10
node-canvas10
numpy10
ml10
clojure10
sdk10
Programming languages (6)
Github contributions (5)
dbbert/dfn
Aug 2016 - Jun 2020
Contributions:11 commits, 10 pushes, 1 branch in 3 years 10 months
segments-ai/fast-labeling-workflow
Jul 2020 - Aug 2022
Building large-scale datasets is a time-consuming endeavour, especially for tasks like image segmentation where the labels need to be very precise. This tutorial shows how you can speed up your labeling workflow for image segmentation with Segments.ai, using model training in the loop.
Contributions:1 review, 24 commits, 2 PRs in 2 years
image-segmentationmodel-trainingtrainingimage-classificationsegments
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