Andrew 

Machine Learning Engineer at Delft University of Technology

Netherlands
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Summary

👤
Senior
Andrew Demetriou is a research scientist blending nine years of interdisciplinary experience across industry, non-profits, and academia to redesign how we collect, validate, and present data for machine learning. Currently finishing a PhD at TU Delft, his work pioneers psychometrics-informed ground-truthing for subjective, high-variability tasks—demonstrated in case studies on song lyrics and political speech and by leading the Alexandria federated micro-publication project. He has translated that research mindset into product-impacting roles at Universal Music Group and VIER, building lightweight distributed ML evaluations, multi-sensor data pipelines, and gamified simulation environments. Known for bridging social science rigor with practical engineering, he distills complex experimental results into actionable insights for stakeholders and prototypes. Based in Amsterdam, he combines deep methodological critique (including on LLM overinterpretation) with hands-on tooling and visualization to make subjective data auditable and useful.
code9 years of coding experience
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Github Skills (27)

python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
tor10
ml9
hole-punching9
deep-neural-networks9
privacy9
p2p9
streaming9
bittorrent9
udp8
networking7

Programming languages (5)

C++JavaScriptGoKotlinPython

Github contributions (5)

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Contributions:6 pushes, 4 branches in 5 years 4 months
Contributions:4 pushes, 1 comment in 5 years 5 months
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