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I am an AI Solutions Architect with 20+ years of IT leadership, focused on designing and implementing production-grade RAG and LLM orchestration platforms. I translate business goals into scalable, secure, GDPR-compliant AI solutions guided by measurable outcomes.

My hands-on work spans GCP, Azure, and AWS, and I build reproducible pipelines with Terraform, Ansible, Docker, and containerized runtimes. I emphasize observability and tracing using Langfuse, Prometheus, and Grafana to measure latency, cost telemetry, and business impact.

I have delivered enterprise-grade RAG platforms with multi-stage retrieval (BM25 + dense + rerank) achieving >95% citation accuracy, 99.9% uptime orchestration via LiteLLM, and FinOps-aware routing and caching. I produce runbooks, ADRs, DPIA summaries, and compliance-ready documentation.

I am remote-first and async-friendly, seeking roles where I can consolidate RAG/LLMOps pipelines, advance orchestration patterns, and ensure GDPR/AI Act readiness while enabling teams through documentation and repeatable automation.