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AIJogSharp

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Commerce Fraud Detection App

Commerce Fraud Detection App

AI/Cloud Security
Full Stack Developer

Project Overview

Created a fraud detection system using Pub-Sub, Service Bus, Kubernetes, and serverless functions to detect and mitigate fraudulent activity.

Detailed Description

Architected and built a real-time fraud detection system for a major commerce platform.

  • Utilized a Pub-Sub architecture with Azure Service Bus for message queuing.
  • Leveraged Kubernetes for scalable microservices.
  • Implemented serverless functions for event-driven processing.

This setup allowed for the rapid detection and mitigation of fraudulent activities, protecting the platform and its users.

Key Technologies

Azure Service Bus
Kubernetes
Docker
Serverless

Challenges & Solutions

Ensuring real-time fraud detection with minimal latency was critical. This involved optimizing the message processing pipeline and designing a scalable architecture with Kubernetes to handle traffic spikes.