Gerard Goossen
Neural Network Engineer at minds.ai
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolGerard Goossen is a neural network engineer with 19 years of experience building large-scale ML systems and NLP pipelines, currently advancing graph- and representation-based models at minds.ai from his base in Amsterdam. He previously led technical strategy at Facebook, architecting graph neural network migrations and scoring systems that underpin abuse detection at massive scale while improving recall and resource efficiency. His background spans production search and distributed storage, multilingual information extraction, and a Perl core refactor, reflecting deep systems and research fluency. Gerard combines hands-on model research (GNNs, transfer learning, autoencoders) with engineering rigor—designing frameworks, DSLs and infrastructure to move ideas into stable, adversarially robust production.
19 years of coding experience
16 years of employment as a software developer
M.Sc., Physics, M.Sc., Physics at University of Amsterdam
Github Skills (34)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
perl8
ocaml7
cpan7
abstract-interpretation7
Programming languages (5)
Github contributions (5)
ggoossen/kurila
Dec 2008 - Aug 2011
Contributions:375 commits in 2 years 8 months
ggoossen/pytorch
Feb 2019 - Nov 2019
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:31 pushes, 14 branches in 9 months
pythongpu-accelerationdeep-learninggpuacceleration
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