Bart Cox
PHD Candidate
Delft, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolBart Cox is a Distributed Machine Learning Engineer and PhD candidate at Delft University of Technology with nine years of experience building data-driven and robotics systems. He combines academic research and applied engineering, having progressed from junior software roles and robotics/data engineering at Prime Vision to teaching and research positions at TU Delft. His work focuses on scalable, distributed ML methods and practical deployment in robotics and automation contexts, bridging theoretical rigor with production constraints. Active in university governance and student organizations early in his career, he brings strong collaboration and stakeholder management skills to technical projects. Based in Delft, he pairs a deep Computer Science education with hands-on internship and industry experience that accelerate research-to-product workflows. A detail that sets him apart is his seamless movement between teaching, research, and engineering roles, enabling rapid translation of novel algorithms into real-world systems.
8 years of coding experience
6 years of employment as a software developer
Computer Science, Computer Science at De Haagse Hogeschool / The Hague University of Applied SciencesMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Delft University of Technology
Dutch, English
Github Skills (40)
overlay10
anonymity9
ospf8
deep-learning8
federation8
inference8
machine-learning8
networking8
pytorch8
identity8
python7
p2p6
gnu5
perf5
kernel4
Programming languages (9)
Github contributions (5)
bacox/bacox.github.io
Oct 2019 - Jan 2025
Contributions:12 PRs, 39 pushes, 4 branches in 5 years 4 months
bacox/fltk
Apr 2021 - Nov 2022
Federation Learning Toolkit
Contributions:5 reviews, 174 commits, 13 PRs in 1 year 7 months
federationmachine-learning
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