AI Resume (CV) Generator

The Problem (Why I Built This)

We all know it: applying for jobs is a soul-crushing, manual-labor nightmare.

When I was looking for my next role, I knew I needed to apply to 50+ positions. But I also knew that generic, "one-size-fits-all" resumes are a waste of time. They go straight to the 'no' pile.

The real problem was the math. Customizing a CV for every single job is a massive, expensive bottleneck. It's a full-time job in itself.

I needed a machine. A system that could read a job posting, understand what it really wanted, and then build a 100% custom-tailored CV for me, instantly.

The Strategic Solution

I architected a full-stack platform that does exactly that. It's an end-to-end "personalization engine" I built entirely myself.

The system reads any job URL, uses a multi-strategy parser to intelligently extract the actual requirements (even from messy, complex websites), and then... the real magic happens.

It uses Retrieval-Augmented Generation (RAG) to compare those job requirements against my entire career history, which I stored in a vector database. It finds the exact right skills and experiences, gives them to the AI, and writes a perfectly tailored CV.

Then, it generates a professional, pixel-perfect PDF, all from code. I used this system to apply to over 50 jobs, each one with a 100% unique resume.

Capability Showcase

This is a complete, production-ready system I built to solve a high-stakes, high-volume personalization challenge.

• Intelligent RAG Architecture: This is the key. The AI isn't just "guessing." It's an intelligent retrieval system that first finds the most relevant, verifiable facts from my career database before it's allowed to write a single word.
• Multi-Provider AI Orchestration: Why settle for one AI? I built a sophisticated backend that integrates three different AI providers (Claude, DeepSeek, and Grok) and intelligently chooses the best, most cost-efficient model for each specific task (parsing vs. writing vs. analysis).
• Custom PDF Generation Engine: I didn't use a clunky template. I built a custom styling engine entirely in code that gives me 100% control over the final output. It generates professional-grade, pixel-perfect PDF documents for both US and EU formats.
• Multi-Strategy Job Parser: I built a robust parser that uses multiple strategies (JSON-LD, HTML parsing, etc.) to rip job details from any job board, no matter how messy their code is.

What This Means For Your Business

This project is the blueprint for any automated personalization you could possibly need. Any time your team is manually "customizing" a document, it's a bottleneck that can be solved.

The same system I built to write CVs can be applied to:

• Hyper-Personalized Sales & Marketing: An AI that reads a new prospect's website, compares it to your case studies, and auto-generates a 100% custom, multi-page sales proposal.
• Automated SOWs & RFP Responses: An engine that reads a complex RFP, retrieves all your pre-vetted legal and technical content, and assembles an 80-page response in minutes, not weeks.
• Automated Internal Reporting: An AI that can pull data from your finance, sales, and HR systems to automatically write and generate your custom weekly, monthly, or quarterly reports as perfect PDFs.