Enterprise AI Architecture Library

Practical Reference Architectures for Enterprise AI Systems.

I design, build, and explain the systems behind modern AI — from AI gateways and agentic workflows to governed data platforms, federation, and enterprise architecture patterns.

18+

Years Experience

AI

Platform Architect

NexusIQ

Reference Platform

EU

Career Target

Flagship Reference Platform

NexusIQ

Live Platform

Enterprise AI playground for Text-to-SQL, RAG, federated query, governance, research intelligence, and architecture demos.

NexusIQ Dashboard

Enterprise AI

AI SQL

Ask data

RAG

Documents

Federation

Sources

Governance

Access

Research Studio

Competitor signals

Product gaps

Strategy brief

AI + SQL Lab

Natural language query

Governed execution

Explain plan

NexusIQ

The flagship system behind the work.

NexusIQ is the reference platform where enterprise AI architecture patterns become working software — AI SQL, RAG, federation, governance, research intelligence, and product strategy workflows.

Text-to-SQL
Enterprise RAG
Federated Query
Research Studio
Governance
Architecture Demos

Enterprise AI Execution Flow

Reference Architecture

User

Applications • APIs • Humans

AI Gateway

Routing • Authentication • Guardrails

Policy Engine

Governance • Audit • Compliance

Knowledge & Skills

MCP • Enterprise APIs • RAG

Data Platform

Federation • Optimization • Analytics

Exasol
Snowflake
Iceberg
BigQuery

Architecture Library

Learn the systems behind modern AI.

Featured Learning Path

Know Exasol

A practical architecture series explaining analytical database internals: MPP, columnar storage, memory, optimizer, execution engine, and federation.

MPP Architecture
Columnar Storage
In-Memory Processing
Execution Engine
Optimizer
Federation
Know Exasol

Architecture Notes

Recent engineering notes from my work.

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Latest Videos

Visual architecture walkthroughs.

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Building and explaining enterprise AI architecture.

A growing library of reference architectures, diagrams, videos, and implementation notes for practical enterprise AI systems.

About Yuvaraj →