Sami Alabed
London, England, United Kingdom
Summary
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SeniorSami Alabed is a Senior Research Scientist at DeepMind with 11 years of industry experience at the nexus of systems for ML and ML for systems. He holds a PhD and MPhil from the University of Cambridge where he specialised in automatic systems optimisation, and has applied that expertise across roles at DeepMind, Twitter, Google, Amazon and the Alan Turing Institute. His research focuses on Bayesian optimization and reinforcement learning to solve challenging system-level problems, bridging theoretical methods and production-scale reliability. Sami’s background in site reliability and backend engineering gives him a practical edge in deploying research into robust systems. Based in London, he combines deep academic training with hands-on engineering experience across major tech platforms. An understated strength is his fluency in both research methodology and operational constraints, enabling impactful, deployable innovations.
11 years of coding experience
Github Skills (49)
deep-reinforcement-learning8
dqn8
summarization8
messaging7
pytorch7
twitter7
causal-inference7
machine-learning7
i3-config7
reinforcement-learning7
heron7
computation-graph7
streaming7
fault-tolerant6
bayesian-inference6
Programming languages (7)
Github contributions (5)
samialabed/sysgym
May 2022 - Aug 2024
A suite of real-world systems and interface to compare iterative optimization algorithms.
Contributions:2 PRs, 34 pushes, 2 branches in 2 years 2 months
optimizationiterativeoptimization-algorithmssuite
samialabed/samialabed.github.io
May 2021 - Jan 2026
Contributions:37 pushes, 2 branches in 4 years 8 months
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