I Built an AI That Rewrites Resumes to Beat ATS Filters — Here's the Full Code

Most resumes never reach a human. They get shredded by an Applicant Tracking System (ATS) before any recruiter lays eyes on them. The brutal truth: studies show 75% of resumes are rejected by ATS before a human sees them — not because the candidate isn't qualified, but because the formatting or keyword matching failed. I got frustrated enough to build something about it. Here's the full Python-based pipeline I built to analyze job postings, extract keywords, and intelligently rewrite resume bullet points to maximize ATS match scores — without turning your CV into keyword soup. The Problem: ATS Is Dumb (in a Very Specific Way) ATS systems don't "read" your resume. They tokenize it, strip formatting, and run keyword matching against the job description. That means: Your beautifully formatted table? Invisible. "Led cross-functional teams" vs "managed cross-functional teams"? Different score. Skills listed in the sidebar? Often ignored entirely. The fix isn't to game the system blindly — i