Cloud & Distributed Systems · AI / LLM Solutions · US & UAE Healthcare RCM
15+ years translating business outcomes into reference architectures, HLD/LLD, and production-hardened platforms. I design multi-region, cloud-native systems that healthcare organisations depend on across both US and GCC markets — reliably, at scale, with zero tolerance for downtime.
I am a Senior Solution Architect with 15+ years designing and delivering enterprise-grade cloud, AI, and healthcare RCM automation — translating stakeholder requirements into reference architectures, HLD/LLD, and non-functional baselines covering availability, scalability, security, and cost.
My work spans dual markets — 4,000+ US insurance payers and X12 EDI claims pipelines on one side, the UAE payer ecosystem, Shafafiya/DOH submission workflows, and in-region data residency on AWS me-central-1 on the other. It sits at the intersection of agentic AI, revenue cycle management, and high-availability infrastructure.
I have architected 10+ AI and automation platforms and 150+ production AI agents from zero to enterprise, scaling distributed teams of 30+ engineers across geographies, and delivering systems that sustain 99.99% uptime SLAs.
"I build things that hold up under real production load — fault-tolerant by design, observable by default, and engineered for the long term."
A lightweight, privacy-preserving LLM framework for real-time threat detection in digital news streams — achieving 96% classification accuracy with a 70% reduction in training time. The system operates entirely on-premise, integrating GPU-accelerated training, hybrid LLM-assisted labeling, and a continuous feedback loop for adaptation to evolving threat patterns.
Open to senior solution architecture, advisory, and consulting engagements — particularly in cloud and distributed systems, AI/LLM solutions, and US or GCC healthcare technology.