AI ProductProduction

HireLens

AI-assisted resume analysis and job application workspace for job seekers.

Overview

HireLens is a production-oriented AI career platform designed to solve the complete job search workflow. Beyond resume analysis, it helps users evaluate job opportunities, manage applications systematically, and generate professional career documents. The platform combines Gemini AI capabilities with structured data management to provide actionable insights throughout the job search process.

Problem

Job seekers lack a comprehensive platform that combines AI intelligence with practical job search tools. Existing solutions focus narrowly on single aspects (resume review, application tracking) without integrating insights, automation, and role-based access for managing complex workflows at scale.

Solution

Built a full-featured AI career platform with Gemini-powered analysis, PostgreSQL-backed application tracking, secure authentication, performance optimization with skeleton loading, and comprehensive monitoring with Sentry. Added an internal admin console for operations management and user support.

Key Workflows

  • Resume upload and Gemini-powered analysis with detailed feedback
  • AI-generated career documents (cover letters, profiles, etc.)
  • Job opportunity evaluation and comparison
  • Application tracking and status management
  • User authentication and role-based admin access
  • Error monitoring and user bug reporting

Technical Decisions

  • Used Gemini API for high-quality, production-grade AI analysis instead of building custom models
  • Chose PostgreSQL with Neon for reliable data persistence and complex queries
  • Implemented Auth.js for secure, standards-based authentication
  • Added Sentry for production observability and error tracking
  • Built route-based skeleton loading to optimize perceived performance
  • Created internal admin dashboard for operational visibility and support

Performance

Implemented route-based skeleton loading to improve perceived performance and perceived navigation speed. Used optimized data fetching with proper caching strategies. Monitored Core Web Vitals and performance metrics through Sentry. Minimized JavaScript bundle size while maintaining feature completeness.

Accessibility

Ensured proper form labels and error messaging for screen readers. Implemented keyboard navigation throughout the application. Maintained sufficient color contrast for text and interactive elements. Provided clear status updates for AI analysis operations. Tested with multiple assistive technologies.


Stack

Next.jsTypeScriptReactPostgreSQLGeminiSentryAuth.jsZodTailwind CSS

Role: Full-stack developer