Open to opportunities

Mark Ndipenoch

@markndipenoch

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I’m a Linux GPU cluster administrator and data scientist focused on AI-driven medical imaging solutions.

United Kingdom

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What I'm looking for

I’m looking for a role where I can manage Linux GPU/NVIDIA clusters, troubleshoot and train users, and apply AI/data science—especially in medical imaging—to deliver reliable systems and actionable insights.

I work as a Linux GPU NVIDIA Cluster Administrator at Brunel University London, supporting masters students and staff with account management, software installation, and system configuration. I diagnose and resolve technical issues and provide Linux training while keeping up with regular team meetings.

Earlier, I completed an internship as a Data Scientist at Insight Research Centre for Data Analytics (UCD), where I handled data collection, cleaning and pre-processing, exploratory data analysis, statistical analysis, and data visualization for interactive dashboards.

My Ph.D. in Computer Science (AI and Data Science in Medical Imaging) drives my focus on practical AI—validated by winning the RETOUCH grand challenge for retinal OCT image segmentation, classification, and detection, and earning 2nd place at FeTA 2022 with Team: BlueBrune. I bring a strong full-stack/AI toolset across Linux, databases, visualization, and deep learning models.

Experience

Work history, roles, and key accomplishments

Linux GPU NVIDIA Cluster Administrator

Brunel University London

Oct 2021 - Jul 2025 (3 years 9 months)

Supported masters students and staff on a Linux GPU NVIDIA cluster by diagnosing and resolving technical issues. Managed user accounts, installed/configured software, troubleshot problems, and delivered Linux usage training.

Linux GPU Clusters Technical Troubleshooting Account Management Installation System Configuration User Training Support

Data Scientist Intern

Insight Research Centre for Data Analytics (UCD)

Jun 2021 - Sep 2021 (3 months)

Worked on data science tasks including data collection, cleaning and pre-processing, exploratory data analysis, and statistical analysis. Created data visualisations and interactive dashboards to communicate findings.

Data Collection Data Cleaning Statistical Analysis Data Visualization

Education

Degrees, certifications, and relevant coursework

Brunel University London

Doctor of Philosophy (PhD), Computer Science (AI and Data Science)

2021 - 2025

Ph.D. in Computer Science focused on AI and data science in medical imaging. Completed research work supported by coursework and academic training through July 2025.