Skill AI Scan is an AI-powered CV screening platform built to streamline and automate the hiring workflow for HR teams. The system allows recruiters to paste candidate CVs, define custom evaluation criteria, and leverage intelligent AI analysis to shortlist the most relevant profiles instantly. Designed with a multi-tenant architecture, each tenant operates with its own isolated database, custom domain, and white-labeled interface. Built using a Next.js frontend and Node.js backend with OpenAI integration, the platform ensures scalable performance, secure data separation, and enterprise-ready deployment for organizations.

Tech Stack

• Next.js
• Node.js
• OpenAI SDK
• Multi-Tenant Architecture

Key Features

• AI-driven CV evaluation based on customizable hiring criteria.
• Tenant-level database isolation for secure data separation.
• White-label support with custom domains per tenant.
• Scalable API architecture for concurrent recruitment workflows.

My Role

I was responsible for designing and developing the full-stack multi-tenant architecture, implementing tenant-level database isolation, integrating OpenAI-powered CV analysis, and building a scalable white-labeled frontend with secure authentication and API-driven workflows.

Challenges & Solutions

The core focus was architecting a scalable multi-tenant system that ensures strict data isolation while maintaining performance and flexibility. Implementing tenant-aware routing, secure authentication boundaries, and AI processing pipelines required careful system design to support commercial deployment across multiple organizations.