George Kyriakides
Data Scientist
Greece
Summary
👤
Senior🎓
Top SchoolGeorge Kyriakides is a data scientist with 10 years of experience who applies machine learning and scalable model engineering to solve complex business problems at Quintessential SFT. He holds a PhD from the University of Macedonia in Parallel and Distributed Neural Architecture Search, where his HFRI-funded research produced multiple publications on automating neural architecture design. Comfortable moving models from research to production, he collaborates with engineers and analysts to develop robust, deployable solutions using modern ML frameworks. His background in computational methods and applied informatics gives him strong foundations in algorithmic thinking and systems-level optimization. Based in Greece, he balances curiosity-driven research with practical impact, often focusing on methods that speed up architecture search across distributed resources. Colleagues describe him as someone who bridges deep academic insight with pragmatic engineering to deliver measurable business value.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Parallel and Distributed Neural Architecture Search, Doctor of Philosophy - PhD, Parallel and Distributed Neural Architecture Search at University of Macedonia
Github Skills (6)
architecture8
deep-learning6
machine-learning6
tensorflow5
neural-network4
deep-neural-networks4
Programming languages (1)
Github contributions (5)
GeorgeKyriakides/nord
Sep 2018 - Jun 2022
Deep neural architecture research framework
Contributions:136 commits, 1 PR, 32 pushes in 3 years 9 months
caffe2deep-learningneural-networksmachine-learningneural-architecture
GeorgeKyriakides/test
Feb 2016 - Dec 2016
Contributions:2 PRs, 8 pushes, 6 branches in 10 months
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