Case studies
Real infrastructure problems. Real constraints.
Each case study covers the environment, my role, what was designed and built, and the outcome, from today's sovereign cloud and AI engagements at SITE back to the bank-scale platforms where it started.
Cloud Adoption & AI Pre-Sales
Guiding KSA enterprises through adopting SITE Cloud, from discovery and RFP through solution architecture, migration, and onboarding into production. Engagements span both service lines: cloud infrastructure and the sovereign AI stack, covering LLM inference, RAG pipelines, vision, and document intelligence for government, finance, and regulated industries.
AI Adoption at SITE Cloud
Helping regulated enterprises adopt SITE's sovereign AI platform: scoping use cases, building RAG pipelines on in-Kingdom models, and taking teams from proof-of-value to production without data leaving the country.
HUMAIN m3 Inference Performance Assessment
I had the honor of testing HUMAIN inference serving: 16,126 requests against humain-m3-research-preview on the HUMAIN Node gateway. 21.6 req/s sustained, 11.5k output tok/s peak, sub-second first token — full report with scaling curves, tail-latency analysis, and production guidance.
VMware Platform at Scale: 300+ Hosts, 4,000+ VMs
Design, implementation, and operations of a multi-site private cloud spanning vSphere, NSX-T network virtualisation, VMware Cloud Director multi-tenancy, and SRM-based disaster recovery, serving one of Saudi Arabia's largest financial institutions and its subsidiaries.
Related reading: What running NSX-T across 4,000 VMs taught me about micro-segmentation · HUMAIN m3 inference performance assessment.
Working on something similar?
I'm always up for a technical conversation about cloud architecture, migration, or sovereign AI.