We understand the unique challenges of DS/ML/AI job hunting. Generic ATS checkers don't cut it. That's why we built RapidATS — a scoring tool that actually understands technical resumes.
Our Mission
Most ATS systems and resume checkers are built for generic corporate roles. They penalize technical resumes for things like project sections, GitHub links, and technical skills that don't fit their narrow templates.
We believe that's wrong. Data Science, Machine Learning, and AI roles require different resume structures. Quantified project impact matters. Technical depth matters. Open-source contributions matter.
RapidATS was built from the ground up to understand and reward what actually makes a technical resume strong — not just what fits a generic template.
Our algorithms are tuned specifically for DS/ML/AI resumes, understanding project impact, technical skills, and quantification in context.
We don't just give you a score — we tell you exactly what's missing and how to improve your resume for technical roles.
Technology
We extract text from your PDF and intelligently identify sections like Experience, Projects, Skills, and Education using pattern matching and NLP.
Our scoring engine evaluates quantification, action verbs, section completeness, and project impact — weighted specifically for technical roles.
We use semantic similarity, exact skill matching, and LLM reasoning to compare your resume against job descriptions and highlight gaps.
Our Values
We don't store your resume content. We don't sell your data. We don't track you across the web. Your resume is processed in memory and only a hashed fingerprint is cached for performance.
We explain how we score your resume and what you can do to improve it. No black boxes. No vague advice. Just clear, actionable feedback based on what actually works for technical roles.
We respect your time. Most resume checkers take minutes. RapidATS delivers results in under 30 seconds — without sacrificing depth or accuracy.
We listen to our users. Our scoring weights, features, and roadmap are shaped by feedback from real data scientists, ML engineers, and AI researchers.
Team
RapidATS was founded by data scientists who experienced the frustration of applying to hundreds of jobs only to be filtered out by ATS systems that didn't understand technical resumes.
We're a small, remote team building tools to help technical talent get noticed. If you'd like to contribute, collaborate, or just say hi — join our Discord community!
Get a clearer picture of how your resume reads to ATS systems — and exactly what to fix next.
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