Koen Van Der Veen
EU Tech Lead at OpenMined
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolKoen Van Der Veen is an EU Tech Lead with nine years of experience building privacy-preserving machine learning systems from Amsterdam. He leads technical efforts at OpenMined and has a strong research-to-production background, previously shipping ML solutions at Memri and as a machine learning engineer at de Praktijk Index. His open-source contributions to PySyft include implementing custom tensor types and core operations for federated learning, demonstrating deep familiarity with privacy-first data science primitives. Holding an MSc in Artificial Intelligence from Universiteit van Amsterdam, Koen combines academic rigour with practical engineering and a knack for turning federated learning research into test-covered, deployable components.
9 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Artificial intelligence, Master of Science - MS, Artificial intelligence at Universiteit van Amsterdam
Github Skills (11)
tensorrt10
pytorch10
tensor10
deep-learning10
tensorflow10
python10
operation10
federated-learning10
sym10
testing10
cryptography9
Programming languages (5)
Github contributions (5)
OpenMined/PySyft
Jan 2018 - Jun 2021
Perform data science on data that remains in someone else's server
Role in this project:
Data Scientist
Data ScientistContributions:375 reviews, 81 commits, 293 PRs in 3 years 5 months
Contributions summary:Koen's commits primarily involve the development and implementation of custom tensor types, including SyftTensor, FloatTensor, DataTensor, and IntegerTensor, designed for data science and federated learning applications. They introduced fundamental operations and functionalities, such as addition and other mathematical operations. Their contributions include the addition of unit tests to verify and ensure the correctness of the tensor types and the operations defined on them, thus ensuring the reliability of the code.
pytorchcryptographyacquiringpythonscience
memri/pyintegrators
Aug 2020 - May 2021
Contributions:141 commits in 8 months
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