HiredLens: Full-Stack AI Resume Optimizer
Budget: ₹1,500 – ₹12,500 INR
Project Overview: I architected and developed HiredLens, a production-ready, full-stack AI SaaS application designed to help job seekers optimize their resumes for ATS (Applicant Tracking Systems).
Key Features I Built:
End-to-End AI SaaS: Integrated Google Gemini LLM to parse PDF resumes, perform keyword gap analysis against job descriptions, and auto-generate resume rewrites.
Advanced Monorepo Architecture: Structured the enterprise-grade codebase using Turborepo and npm workspaces to seamlessly share TypeScript types and database schemas across the frontend and backend.
Full-Stack Implementation: Built a highly responsive frontend using React 19, Vite, and Tailwind CSS, powered by a robust backend using NestJS 11, Prisma ORM, and PostgreSQL.
Smart Data & DevOps: Handled complex file uploads and caching using Redis, while containerizing the local infrastructure via Docker.
The Result: A highly scalable, maintainable AI application that provides instant value to users through smart scoring, personalized 30/60/90-day career roadmaps, and custom interview prep.
Live Link:Project Overview: I architected and developed HiredLens, a production-ready, full-stack AI SaaS application designed to help job seekers optimize their resumes for ATS (Applicant Tracking Systems).
Key Features I Built:
End-to-End AI SaaS: Integrated Google Gemini LLM to parse PDF resumes, perform keyword gap analysis against job descriptions, and auto-generate resume rewrites.
Advanced Monorepo Architecture: Structured the enterprise-grade codebase using Turborepo and npm workspaces to seamlessly share TypeScript types and database schemas across the frontend and backend.
Full-Stack Implementation: Built a highly responsive frontend using React 19, Vite, and Tailwind CSS, powered by a robust backend using NestJS 11, Prisma ORM, and PostgreSQL.
Smart Data & DevOps: Handled complex file uploads and caching using Redis, while containerizing the local infrastructure via Docker.
The Result: A highly scalable, maintainable AI application that provides instant value to users through smart scoring, personalized 30/60/90-day career roadmaps, and custom interview prep.
Skills / Tags (Select these if available):
React.js
Node.js / NestJS
TypeScript
Artificial Intelligence / AI Integration
PostgreSQL
Software Architecture
Skills / Tags (Select these if available):
React.js
Node.js / NestJS
TypeScript
Artificial Intelligence / AI Integration
PostgreSQL
Software Architecture
Live Link: https://ai-resume-optimizer-b813.onrender.com
Key Features I Built:
End-to-End AI SaaS: Integrated Google Gemini LLM to parse PDF resumes, perform keyword gap analysis against job descriptions, and auto-generate resume rewrites.
Advanced Monorepo Architecture: Structured the enterprise-grade codebase using Turborepo and npm workspaces to seamlessly share TypeScript types and database schemas across the frontend and backend.
Full-Stack Implementation: Built a highly responsive frontend using React 19, Vite, and Tailwind CSS, powered by a robust backend using NestJS 11, Prisma ORM, and PostgreSQL.
Smart Data & DevOps: Handled complex file uploads and caching using Redis, while containerizing the local infrastructure via Docker.
The Result: A highly scalable, maintainable AI application that provides instant value to users through smart scoring, personalized 30/60/90-day career roadmaps, and custom interview prep.
Live Link:Project Overview: I architected and developed HiredLens, a production-ready, full-stack AI SaaS application designed to help job seekers optimize their resumes for ATS (Applicant Tracking Systems).
Key Features I Built:
End-to-End AI SaaS: Integrated Google Gemini LLM to parse PDF resumes, perform keyword gap analysis against job descriptions, and auto-generate resume rewrites.
Advanced Monorepo Architecture: Structured the enterprise-grade codebase using Turborepo and npm workspaces to seamlessly share TypeScript types and database schemas across the frontend and backend.
Full-Stack Implementation: Built a highly responsive frontend using React 19, Vite, and Tailwind CSS, powered by a robust backend using NestJS 11, Prisma ORM, and PostgreSQL.
Smart Data & DevOps: Handled complex file uploads and caching using Redis, while containerizing the local infrastructure via Docker.
The Result: A highly scalable, maintainable AI application that provides instant value to users through smart scoring, personalized 30/60/90-day career roadmaps, and custom interview prep.
Skills / Tags (Select these if available):
React.js
Node.js / NestJS
TypeScript
Artificial Intelligence / AI Integration
PostgreSQL
Software Architecture
Skills / Tags (Select these if available):
React.js
Node.js / NestJS
TypeScript
Artificial Intelligence / AI Integration
PostgreSQL
Software Architecture
Live Link: https://ai-resume-optimizer-b813.onrender.com