Unjob.ai

Unjob.ai is a full-stack hiring and services ecosystem used by more than 2,00,000 active users. I worked across the product lifecycle, contributing to frontend development, backend integrations, performance optimization, cloud infrastructure, and production deployment.

Details

Role

Full Stack Developer

Client

Unjob.ai

Duration

10 months

Year

2025–2026

Stack

• Next.js
• TypeScript
• Angular
• Node.js
• PostgreSQL
• AWS

Challenge

The platform needed to support a large and growing user base while maintaining a fast and reliable experience across multiple product areas. A major challenge was maintaining application performance while working with server-rendered pages, complex frontend flows, APIs, databases, and production infrastructure.

Solution

Worked across the application using Next.js, TypeScript, Angular, Node.js, PostgreSQL, and AWS. Server-Side Rendering was optimized to improve initial page loading performance. AWS EC2, S3, and SES were used for application hosting, asset storage, and transactional communication.

Results

The platform supported more than 2,00,000 active users. Initial page load performance was improved by approximately 35% through Server-Side Rendering optimization and frontend performance improvements.

Features

Hiring Marketplace

A large-scale hiring ecosystem connecting users with job opportunities and professional services.

Server-Side Rendering

Optimized Next.js Server-Side Rendering to improve initial page loading and overall application performance.

Production APIs

Worked with backend APIs, database integrations, and frontend application flows across the platform.

AWS Infrastructure

Used AWS EC2 for hosting, S3 for asset storage, and SES for transactional email delivery.

Performance Optimization

Identified and improved application bottlenecks with a focus on faster initial rendering and production performance.

Process