Vassilis Ioannidis
Applied Science Lead & Manager at Amazon Web Services (AWS)
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolVassilis Ioannidis is an applied science leader with 11 years of AI experience and over three years managing teams that turn graph and language research into production at AWS and Amazon. He specializes in graph neural networks, knowledge graphs, and retrieval-augmented generation to improve search, recommendation, and abuse-detection systems, and has shipped products and frameworks used across Amazon and AWS (including contributions around GraphStorm and Neptune ML). With a PhD in Electrical and Computer Engineering, he bridges deep research—online graph algorithms, tensor factorization, GNN architectures—with scalable engineering to deploy large language and graph models at scale. Known for mentoring junior scientists and building cross-functional ML services, he pairs rigorous academic foundations with a pragmatic focus on measurable product impact.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at University of MinnesotaDiploma of Electrical Engineering Electrical and Computer Engineering, Diploma of Electrical Engineering Electrical and Computer Engineering at National Technical University of Athens
English, German, Greek
Github Skills (11)
graph10
pytorch10
machine-learning10
deep-learning10
python10
dgl9
knowledge-graph8
graph-representation-learning5
pytorch-geometric3
graph-neural-network2
geometric-deep-learning1
Programming languages (2)
Github contributions (5)
amazon-science/panrep
Feb 2020 - Jan 2021
Contributions:64 commits, 6 PRs, 10 pushes in 10 months
bioannidis/Coupled_tensors_graphs
May 2019 - May 2019
Contributions:16 commits, 15 pushes, 1 branch in 2 days
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