Rob Geada

Principal Machine Learning Engineer @ Red Hat

About

Professionally: Principal Software Engineer and TrustyAI Tech Lead at Red Hat, designing and applying XAI algorithms to bring explainability, bias monitoring, drift analysis, and more to OpenShift AI. Academically: PhD from Newcastle University's Cloud Computing for Big Data CDT, researched ways of making the cutting-edge of deep learning accessible to everyone via resource efficient neural architecture search. In undergrad, I studied physics with a minor in computer science at the University of Chicago. Personally: Musician, composer, rock-climber, sim-racer, CAD modeler

Country

United Kingdom

City

Newcastle Upon Tyne

Industry

Computer Software

Skill

OpenShift, Critical Reading, Business Strategy, Technology Development, Patentability, Patent Analysis, Presentation Skills, Education, Teamwork, Data Science, Artificial Intelligence (AI), Java, Python, Big Data, Machine Learning, Programming, Research, Event Management, Physics, Computer Science

Experience

Principal Machine Learning Engineer

Red Hat

2025-8 - Present · 1 yr 2 mos

Newcastle Upon Tyne

I'm the Technical Lead for the AI safety team within Red Hat AI. Our goal is to provide all kinds of AI safety and evaluation tools to Red Hat's AI platform and products, such as guardrailing and red-teaming. As tech lead, my job is to coordinate our position with the rest of Red Hat AI, to help identify our long-term strategy, to act as a customer-facing SME, and to best position our engineers on projects that align with their interests and career-targets.

Patent Committee Member

Red Hat

2023-3 - Present · 3 yrs 7 mos

As a member of the Red Hat Patent Committee, I serve as a technical reviewer of prospective patents that are submitted by Red Hat inventors. This involves assessing the submitted inventions for technical merit, novelty, and business value, such as to ensure Red Hat's patent portfolio is strong enough to deter litigators and competitors who might threaten the free and fair use of open-source software.

Principal Software Engineer

Red Hat

2024-4 - 2025-8 · 1 yr 5 mos

Newcastle Upon Tyne, England, United Kingdom

Senior Software Engineer

Red Hat

2021-9 - 2024-4 · 2 yrs 8 mos

Newcastle upon Tyne, England, United Kingdom

Associate Software Engineer

Red Hat

2016-6 - 2021-9 · 5 yrs 4 mos

Newcastle upon Tyne, United Kingdom

My current work with Red Hat is with the Explainable Artificial Intelligence team within Kogito, where I implement existing and research new XAI techniques to provide to our users. Prior work with Red Hat revolved around natural language processing via machine learning, such as to discover business insights hidden within internal datasets. Beyond this core focus, I consult with other teams within the company to bring these technologies into their own projects.

Facilitator 1

Science and Industry Museum

2015-4 - 2015-8 · 5 mos

5700 S Lake Shore Dr, Chicago, IL 60637, USA

Led demonstrations and provided STEM-oriented education to large (40+) groups of guests of diverse background. Worked cooperatively with 30+ person team to develop and conduct museum programming.

Algorithm Consultant/Technology Intern (Supply Chain Management/Logistics)

OYO Sports

2014-6 - 2014-8 · 3 mos

20 Main St, Acton, MA 01720, USA

Designed and implemented new algorithms to optimize on-site production. Used JavaScript and Visual Basic to increase production efficiency over a million-fold. Mentored high school interns in programming languages and concepts.

Education

Newcastle University

Computer Science

2017 - 2022-6 · 5 yrs

Researching neural architecture search (NAS), specifically with focus on providing more resource effective techniques such as to democratize the future development of deep learning. My thesis discusses differential approaches to NAS, with focus on Computer Vision. Specifically, I designed a NAS approach that looks to find the optimal architecture within a given VRAM space, such as to identify excellent models for a given hardware configuration.