Andrew El-kadi

Research Engineer at Google DeepMind

London, England, United Kingdom
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Summary

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Rockstar
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Top School
Andrew El-kadi is a Senior Research Engineer at Google DeepMind specialising in generative modelling and operational deployment for weather forecasting, with a focus on subseasonal forecasting, temporal upsampling and extreme-event prediction. He holds an MEng in Mathematics and Computer Science from Imperial College London, where he ranked top of his cohort in the final two years, and brings six years of research-engineering experience across academia and industry. His background spans internships and placements at DeepMind, Bloomberg and G-Research, where he blended statistical methods, performance-sensitive systems and quantum/ML experimentation into production-ready solutions. Notably, he has implemented Kafka-integrated systems, contributed to IBM Qiskit machine learning components, and built multi-threaded emulators for low-latency trading environments. Based in London, he combines strong theoretical foundations with hands-on scaling and deployment experience, often operating at the intersection of cutting-edge research and robust engineering.
code6 years of coding experience
job1 year of employment as a software developer
bookA-Levels, A-Levels at Latymer Upper School
bookMasters of Engineering - MEng Mathematics and Computer Science, Masters of Engineering - MEng Mathematics and Computer Science at Imperial College London
bookGCSEs, GCSEs at The British School Al Khubairat
languagesArabic, French, English
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Github Skills (20)

weather10
kernel-methods10
quantum-computing8
qiskit8
machine-learning7
quantum-programming-language6
automatic-differentiation6
gpu6
python6
autodiff6
pytorch6
jit5
numpy4
tpu4
composable4

Programming languages (2)

CPython

Github contributions (5)

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andrewlkd/QAOA-SAT

Nov 2022 - Jan 2024

Contributions:101 pushes, 1 branch in 1 year 1 month
andrewlkd/huxley

Jun 2020 - Jun 2020

Contributions:13 pushes in 7 days
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Andrew El-kadi - Research Engineer at Google DeepMind