Summary
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.
6 years of coding experience
1 year of employment as a software developer
A-Levels, A-Levels at Latymer Upper School
Masters of Engineering - MEng Mathematics and Computer Science, Masters of Engineering - MEng Mathematics and Computer Science at Imperial College London
GCSEs, GCSEs at The British School Al Khubairat
Arabic, French, English