ResumeOS
Developed an AI-powered SaaS web application that parses PDF resumes to instantly generate responsive portfolio websites with 3 customizable templates. Built the backend using FastAPI and pdfplumber, leveraging the Gemini API to extract structured JSON data and calculate ATS compatibility scores with actionable tips. Built the frontend in Next.js and Tailwind CSS with real-time editing, drag-and-drop section reordering, custom URL slugs, view-count analytics, and dynamic Open Graph card previews for rich social sharing
The Problem
Job seekers needed a fast, automated way to convert static PDF resumes into interactive, high-converting portfolio websites without spending hours building them manually.
Key Value & Highlights
- ✦Automated PDF to web-portfolio builder
- ✦AI PDF parsing & ATS score calculations
- ✦Generated 4,000+ portfolio sites in 3 months
- ✦Fast conversion pipeline under 3 seconds
Technologies Used
Next.js, Tailwind CSS, FastAPI, pdfplumber, Gemini API, SQLite.
Scale & Performance
Processed and generated 4,000+ custom portfolio websites in the first three months, keeping PDF parsing time under 3 seconds.
Uptime & Operations
Enabled job seekers to launch instantly. Maintained 99.9% uptime and managed scope creep by limiting templates to three highly optimized variants for launch, maintaining high velocity and communication.
Ready to build something similar?
Let's discuss how we can build a secure, fast, and scalable SaaS tailored specifically to your roadmap.