Bart Keulen
Robotics Engineer at Avular
Eindhoven, North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolBart Keulen is a robotics engineer and PhD candidate in machine learning with 11 years of hands-on experience building perception-driven robotic systems and research-grade ML tools. He has delivered production-ready visual guidance and behavior frameworks for autonomous driving robots at Avular, and co-authored peer-reviewed work on deep network regularization while lecturing and supervising students at Universität Innsbruck. His background spans mechanical engineering, systems & control, and software engineering—enabling him to bridge hardware, control theory, and modern deep learning methods. Past entrepreneurial roles show he turns customer needs into shipped products, from web services to laser-cutting logistics, and a research stint that cut RL learning times by up to 95% hints at a talent for algorithmic efficiency. Based in Eindhoven, he thrives in diverse, international teams and balances technical rigor with a practical, outcomes-focused mindset.
11 years of coding experience
7 years of employment as a software developer
PhD Candidate, Machine Learning, PhD Candidate, Machine Learning at Universität InnsbruckMaster's Degree, Systems and Control, Master's Degree, Systems and Control at Delft University of Technology
Dutch, English, German
Github Skills (79)
github10
git10
robotics9
statistics9
latexmk9
inkscape9
toolbox9
state-machine9
pymc9
ros9
bayesian-methods9
intellij9
bayesian9
jupyter-notebook9
behavior-tree8
Programming languages (10)
Github contributions (5)
BartKeulen/smartstart
Sep 2017 - Sep 2017
Contributions:51 commits, 92 pushes, 23 branches in 28 days
BartKeulen/drl
May 2017 - Sep 2017
Contributions:137 commits, 2 PRs, 96 pushes in 3 months
deep-learningreinforcement-learningreinforcementdeep-reinforcement-learning
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