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ENTERPRISE AI  ·  ARCHITECTURE  ·  ENGINEERING

Designing and building enterprise AI systems.

Secure · Evaluated · Evidence-driven.

I combine 25+ years of enterprise technology experience with hands-on work in agentic AI, security, evaluation, and resilient architectures.

Explore My Work → Watch AI Series
Kavita Mahajan
AWS · Principal Solutions Architect 25+ years in enterprise technology
AI Systems Architecture & Engineering Agentic systems · Security Evaluation · Real-world impact
Educator & Builder 45+ episode GenAI series
Featured AI System

Evidence-Driven Business Agent

From business idea → research → evidence → decision.

An end-to-end agentic system that researches markets, suppliers, regulations, costs and risks — and connects its conclusions to verifiable evidence, with built-in security controls and an independent evaluation layer.

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Business Agent

Plan · Research · Synthesize
→

Security & Guardrails

Validate · Authorize · Constrain
→

Independent Arbiter

Verify · Challenge · Measure
BUILD→SECURE→EVALUATE

An agentic system with security boundaries and an independent evaluation layer.

A short demo of the Business Agent in action (muted, looping).

The Differentiator

The agent doesn’t evaluate itself.

The Business Agent generates the analysis. A separate Arbiter challenges its claims, verifies supporting evidence, and assesses confidence against the available evidence.

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AI Evaluation Claims · evidence · calibration · adversarial testing
View full evaluation → Latest Arbiter batch: 0% hallucination rate, 100% scope adherence, 100% calibration score across 82 claims evaluated

Live results from the most recent Arbiter batch run.

Generative AI Enablement

Selected sessions on building enterprise AI—from fundamentals to production.

Browse the complete learning journey
Input Tokens → Transformer Block x N → Output Tokens
27:40

1. Transformer Architecture Explained

Deep dive into the transformer architecture that powers modern LLMs.

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AI Agents
Design Patterns
30:06

2. AI Agents

Learn the foundational design patterns for building agentic AI systems.

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AI Agents Lab
Build an AI Agent from Scratch
36:32

3. AI Agent Lab: Part 2 of 3

Learn how to implement AI agents using a structured, step-by-step approach.

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AI Evaluation
AI evaluation - retrieval to response quality
24:12

4. AI Evaluation

Learn practical approaches to evaluating Generative AI applications in production.

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A2A Protocol
Agent to Agent communication explained
22:48

5. A2A: A Protocol for Multi-Agent Communication

Understand how the A2A protocol standardizes AI agent discovery and collaboration.

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AI Security
Mental Model for AI Security
25:28

6. AI Security

Build a mental model for designing secure Generative AI systems.

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