I work with companies who need to leverage Agentic and Generative AI to transform their organisation into Autonomous entities — on Google Cloud, at regulated-industry scale, with every decision explainable and every process auditable.
I've spent 15 years inside the revenue-critical layer of global enterprises — designing and delivering Quote-to-Cash systems on Salesforce and Conga that together manage over €50M in annual recurring revenue. CPQ, CLM, Billing, Revenue Recognition, Asset Management. I know what keeps CFOs, sales leaders, and legal teams up at night.
Today I architect end-to-end Agentic AI and ML systems on Google Cloud that automate the exact processes I spent 15 years understanding. I'm not an engineer who learned enterprise. I'm an enterprise systems thinker who mastered cloud-native AI — and that combination is rare.
My work sits at the intersection of Enterprise Architecture (TOGAF ADM), Cloud Engineering (GCP, Vertex AI, production MLOps), and Delivery Leadership (SAFe SPC, practice setup at GSI scale). I've stood up practice teams in India and Taiwan. I've designed systems that passed regulatory audits. I've shipped AI to production in environments where failure is not an option.
TOGAF-aligned, EU AI Act–compliant agentic system design. Multi-agent swarms, MLOps pipelines, XAI layers, and HITL checkpoints — built for regulated industries that cannot afford black-box decisions.
End-to-end delivery on Google Cloud: Vertex AI, ADK, BigQuery, Pub/Sub, GKE, and Terraform IaC. From architecture decision records to deployed, observable, cost-controlled production systems.
SAFe-certified practice setup for AI delivery. I've stood up GCP and CPQ practice teams inside GSIs. I design the methodology, train the people, and establish the delivery capability — not just the architecture.
A complete, production-grade enterprise AI architecture for a regulated medical imaging OEM. Six design phases. Eight intelligent modules. Every ML inference explainable. Every agent action auditable. Every human checkpoint intentional. EU AI Act, ISO 13485, ASC 606, and GDPR compliant — by structural design, not post-hoc reporting.
Most architects see compliance as a constraint. I'll show you why the EU AI Act is actually the forcing function that makes enterprise AI systems better by design.
After 15 years inside enterprise Quote-to-Cash systems, I can tell you exactly why every AI POC in this space fails — and what the architecture looks like when it doesn't.
Every enterprise AI project I've seen fail had one thing in common: no architecture. Here's why TOGAF ADM is not legacy overhead — it's the scaffold that makes agentic systems trustworthy.