Global Conflict Impact Analyzer

Chakravyuh AI

A backend-focused platform built to analyze how global conflicts affect supply chains, fuel availability, and trade.

Chakravyuh AI is the most system-heavy project in the portfolio. It shows backend thinking, API design, data ingestion, and architecture work aimed at turning large, multi-source datasets into usable insights for a frontend layer.

REST APIs

Insight delivery to the frontend

Pipelines

Multi-source data ingestion and processing

Scale

Architecture built for large datasets

Analytics dashboard screens representing geopolitical and supply-chain analysis.

Case-study structure

Result first. Context second. Decisions where they matter.

Each story is structured for fast recruiter scanning first, with enough technical depth to show how the implementation holds together.

Chapter 01

Context

Chakravyuh AI was built around a high-information problem: understanding how global conflicts influence supply chains, fuel availability, and trade. The product value came from transforming complex external data into insight the frontend could actually use.

Chapter 02

Challenge

The main challenge was not visual design - it was building a backend platform capable of collecting, processing, and serving large amounts of geopolitical and economic data while staying scalable and near real-time in its update model.

Chapter 03

Build Decisions

I developed REST APIs with Node.js and Express.js to process and expose insights to the frontend. MongoDB supported the data layer, while ingestion pipelines handled information from multiple sources. The backend architecture was designed to keep the system scalable as data volume and update frequency increased.

Chapter 04

Outcome

Chakravyuh AI adds a strong backend and systems signal to the portfolio. It shows that I am comfortable working beyond UI-heavy projects and can design the data-handling layer needed for products built around analysis and dynamic insights.

Execution notes

The developer details that support the product story.

This is the layer that shows systems, flow, stack decisions, and the technical signal behind the product.

Role

Backend-focused full-stack engineer

Project type

May 2024

Stack

Node.jsExpress.jsMongoDBREST APIsData Processing

Browse GitHub profile

What this project proves

Insight platforms depend on data flow quality as much as API quality.

Scalable architecture choices matter early when the dataset can grow quickly.

Backend-heavy products still need to think about how insight becomes usable.

Continue the story

A good portfolio chapter should naturally lead to the next one.

Open to product engineering roles, web development internships, and startup teams.

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Connect

Interested in building something together?

If you are looking for a full-stack developer who can handle polished UI, practical backend work, and clear product execution, I would love to hear from you.

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