Benjamin Szubert
AI Research Engineer at Bering Limited
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolBenjamin Szubert is an AI Research Engineer based in London with a decade of professional experience and five years focused on end-to-end AI systems from research to production. He has built high-impact medical models—one neural network that detects, localises and visualises 14 X‑ray diseases outperforming consulting radiologists—and a hyperparameter-tuned classifier that improved NHS England emergency-admission risk prediction. Comfortable across ML research and DevOps, he automated model deployment using Ansible, LXD and Jenkins to integrate models into real-world systems. A Distinction MSc graduate from Queen Mary University of London, he combines rigorous academic training with practical cost-conscious engineering (previously cutting a client’s hosting costs by 80%) and a knack for translating complex healthcare problems into deployable AI solutions.
10 years of coding experience
Master’s Degree, Computing and Information Systems, Graduated with Distinction, Master’s Degree, Computing and Information Systems, Graduated with Distinction at Queen Mary University of London
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (27)
reduction10
dimensionality-reduction10
datasets10
python9
machine-learning9
docker8
data-visualization8
deep-learning8
tensorflow8
neural-network8
devops8
data-science7
kubernetes7
chord7
deep-neural-networks5
Programming languages (4)
Github contributions (5)
Szubie/bravetools
Sep 2020 - Oct 2024
An end-to-end System Container management platform.
Contributions:2 PRs, 183 pushes, 181 branches in 4 years 1 month
containersend-to-enddockerkubernetescontainer-management
Szubie/WeatherLeisure
Mar 2016 - Mar 2017
Contributions:38 pushes, 6 branches in 1 year
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