Data is the foundation of every technology.
AI, quantum, analytics, governance — none of it works without the right data layer beneath it. That conviction has shaped everything I’ve built over 18 years of enterprise architecture.
I’m Yuvaraj — Enterprise AI & Platform Architect at Exasol, a founding member of their India team. I specialise in designing end-to-end AI systems, cloud-native deployments, and enterprise integrations across AWS, Azure, and GCP — with deep experience in financial services, healthcare analytics, and fintech.
This site is my architecture library: reference designs, deep-dives, experiment logs, and videos across the five domains I work in daily.
18 years of building what enterprises run on.
Enterprise AI & Platform Architect
Founding India team member. Product evangelism, technical content across the Know Exasol series, internal demo platforms including Exasol Studio, and the Virtual Schema federated query demo published to LinkedIn and YouTube.
AI Architect
Architected RAG-based platforms with LangChain, LangGraph, and Azure OpenAI. Built a vendor intelligence platform (SharePoint → vector embedding → conversational AI) delivering 85% productivity improvement. Designed multi-cloud invoice extraction (SharePoint → GCP Document AI → BigQuery) saving $1.5M annually. Built multi-tenant document intelligence with LlamaIndex and Azure Cognitive Services.
Senior Manager, AI/ML Product Delivery
Led Gen AI–powered claims automation: LLM-based rule creation, anomaly detection, and analytics pipelines. Delivered 25% improvement in detection accuracy and 25% increase in claims processing accuracy. Drove $11M revenue through cloud migration and vendor consolidation.
Senior Program Manager
Delivered 7+ banking client implementations of an enterprise recommendation engine. Managed API design, data governance, model orchestration, and deployment patterns. Generated AED 2.3M incremental revenue and improved client satisfaction by 30%.
Senior Manager, Product Delivery
Led delivery of ML-powered underwriting platform across 60+ person teams. Reduced loan default rates by 20% through decision trees and gradient boosting. Managed release pipelines reducing post-launch issues by 35%.
Delivery Lead / Project Manager
Enterprise transformation programs for US-based clients. Large-scale data warehouses, ETL systems, and the analytical foundations that led to AI architecture work.
Credentials.
What I work with.
Reference platforms, not slide decks.
NexusIQ
A working multi-agent AI control plane: Text-to-SQL, RAG, federated query across Databricks, Snowflake, MySQL, and Exasol, with role-based governance and sovereign AI request classification. Every capability runs end-to-end.
Architecture Library
A full-stack content platform with a custom CMS, markdown editor with image uploads and diagram embedding, YouTube sync, and five topic hubs. Auto-deploys from GitHub to Vercel.
Where I focus.
Targeting European AI platform architecture.
My longer-term goal is to relocate to Germany and work on enterprise AI and data platform architecture at scale. Europe’s regulatory landscape — GDPR, the AI Act, data sovereignty requirements — aligns directly with what I build: governed, auditable, policy-aware AI systems.
Open to conversations about architecture roles, data platform strategy, and AI governance.