Daniel Swoboda

Machine Learning Engineer at RWTH Aachen University

Aachen, North Rhine-Westphalia, Germany
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Summary

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Senior
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Daniel Swoboda is a machine learning engineer and PhD student at RWTH Aachen with 11 years of software and research experience spanning cognitive robotics, multi-agent coordination, and formal controller synthesis. He has driven research-grade tooling such as TACoS for timed automata and contributed a promise-based multi-agent coordination approach published at ICAPS' PlanRob workshop. Equally at home in distributed systems and drone/robotics applications, he combines theoretical rigor from his exchange at KAIST's graduate AI school with practical implementation as a long-term student research assistant. An Austrian living in Germany, he brings a global perspective and a keen interest in technology ethics, making him attentive to responsible ML and robotics deployment.
code11 years of coding experience
job4 years of employment as a software developer
bookDoctor of Science Computer Science, Doctor of Science Computer Science at RWTH Aachen University
bookMatura mit Auszeichnung Informatik, Matura mit Auszeichnung Informatik at HTBLuVA Wiener Neustadt, Abteilung Informatik
bookExchange Semester at the Kim Jaechul Graduate School of AI, Exchange Semester at the Kim Jaechul Graduate School of AI at Korea Advanced Institute of Science and Technology
languagesGerman, English
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Stackoverflow

Stats
644reputation
56kreached
0answers
3questions
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Github Skills (54)

robotics10
logistics10
marine10
robot10
referee10
robocup10
risk-assessment8
apptainer8
cookbook8
singularity7
singularity-container7
protoc6
macos6
grpc6
science6

Programming languages (10)

CLIPSC++ShellCTeXVueJavaScriptGo

Github contributions (5)

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Contributions:4 releases, 155 commits, 121 pushes in 2 years 1 month
snoato/LightboxeS

Jul 2015 - Jul 2015

Contributions:1 release, 47 commits, 28 pushes in 4 days
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Daniel Swoboda - Machine Learning Engineer at RWTH Aachen University