AI ML Support Team Lead (Interim) at KAUST (King Abdullah University of Science and Technology)
Makkah Al Mukarramah, Makkah Region, Saudi Arabia
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Summary
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Senior
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Top School
Mohsin Shaikh is an AI/ML support leader and computational scientist with over a decade of experience enabling large-scale research computing on supercomputers and cloud HPC. Currently interim AI/ML Support Team Lead at KAUST, he helps researchers run distributed training and scalable data science across a 3,400+ NVIDIA GPU estate using portable, containerized workflows and MLOps patterns tailored for performance and security. His background spans hands-on supercomputing consultancy and application support at Pawsey and NeSI, plus a PhD in Bioengineering, giving him a rare combination of domain science and infrastructure engineering. Mohsin is experienced in designing flexible distributed workloads and governance practices that make advanced architectures accessible to diverse research teams. He’s known for translating complex HPC and ML requirements into reproducible, user-friendly workflows that accelerate scientific discovery. Based in Makkah, he brings an international track record of training, support, and system-level optimization that quietly multiplies researcher productivity.
13 years of coding experience
12 years of employment as a software developer
BS Biomedical Engineering, BS Biomedical Engineering at Sir Syed University
PhD Bioengineering, PhD Bioengineering at University of Canterbury
MSc Bioengineering, MSc Bioengineering at University of Strathclyde
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