GreenOps Architect: AI Cloud Validator

AI Agent & Cloud Architecture

Year

2026

Context

Final Project: IT - AI Agent for Programming (Hacktiv8 × IBM SkillsBuild)

Role

AI Solutions Architect

Langflow
Gemini 2.5 FlashGemini 2.5 Flash
Astra DBAstra DB
RAG Pipeline
Prompt Engineering

Project Overview

An enterprise-grade AI agent powered by Langflow and Gemini that automatically audits proposed cloud architectures to prevent financial waste and reduce carbon emissions.

The Problem

Engineering teams frequently over-provision cloud infrastructure to 'play it safe,' leading to massive AWS billing bloat and a severe environmental carbon footprint. Furthermore, manually auditing proposed architectures against dense AWS best-practice whitepapers is highly time-consuming and prone to human error.

The Solution

I engineered a custom Vector Store RAG pipeline using Langflow, Astra DB, and Google Generative AI. To bypass rate limits, I built a batch ingestion pipeline that chunked a 135-page AWS Cost Optimization Whitepaper into sequential micro-batches. I then injected an 'Elite Cloud Architect' persona to rigorously analyze user prompts against the vectorized data.

The Impact & Learning

Delivered a dual-impact AI auditor for DevOps and FinOps teams. The agent analyzes architecture proposals in real-time and generates structured Markdown reports highlighting cost risks, sustainability impacts, and actionable right-sizing recommendations (e.g., adopting Serverless or AWS Graviton) before a single line of infrastructure code is written.

Preview 1

Live Demonstration

Watch GreenOps Architect: AI Cloud Validator in action