Rob Geada
Principal Machine Learning Engineer at Red Hat
Newcastle upon Tyne, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolRob Geada is a Principal Machine Learning Engineer and TrustyAI Tech Lead at Red Hat, bringing nine years of experience building explainability, bias monitoring, and drift analysis into OpenShift AI. He pairs a PhD in Cloud Computing for Big Data—where he made neural architecture search more resource-efficient—with hands-on product delivery across Red Hat’s AI safety and evaluation tooling. As a technical lead and customer-facing SME he shapes strategy, coordinates cross-team work, and helps position engineers for career growth while serving on Red Hat’s Patent Committee. His background in physics and early work in NLP and algorithmic optimization give him a rare blend of quantitative rigor and practical systems thinking. Outside of work he channels creativity and precision as a musician, composer, rock-climber and CAD modeler—interests that mirror his approach to elegant, carefully engineered ML solutions.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Newcastle UniversityBachelor’s Degree Physics, Bachelor’s Degree Physics at University of Chicago
English, Spanish
Github Skills (66)
tooling10
python10
business-process10
cloud-native10
operator10
bpmn10
evaluation-framework10
continuous-deployment10
kubernetes10
typescript10
dmn10
java10
openshift10
spring-boot10
sap-cloud-platform10
Programming languages (9)
Github contributions (5)
trustyai-explainability/odh-trustyai-demos
Oct 2023 - Feb 2025
Demos showcasing TrustyAI's capabilities within Open Data Hub.
Contributions:2 reviews, 8 PRs, 23 pushes in 1 year 3 months
red-hat-data-services/trustyai-explainability
Feb 2023 - Mar 2025
TrustyAI Explainability Toolkit
Contributions:12 reviews, 11 PRs, 21 pushes in 2 years 1 month
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