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AI Case Study

CV Compiler analyses technical resumes and recommends improvements using machine learning

CV Compiler, developed by Andrew Stetsenko and Alexandra Dosii, is a web app that analyses and then suggests corrections to technical CVs to attract recruiters at big tech companies like Google, Yahoo and Facebook, using machine learning. The algorithm has analysed 1 million resumes and has learnt to scan for keywords that are industry-specific. Thus far, 10,729 professionals have compiled their resumes using the tool.



Software And It Services

Project Overview

"Take CV Compiler, a new product by Andrew Stetsenko and Alexandra Dosii. This web app uses machine learning to analyze and repair your technical resume, allowing you to shine to recruiters at Google, Yahoo and Facebook.

The founders are marketing and HR experts who have a combined 15 years of experience in making recruiting smarter. Stetsenko founded and GlossaryTech while Dosii worked at a number of marketing firms before settling on CV Compiler.

The app essentially checks your resume and tells you what to fix and where to submit it. It’s been completely bootstrapped thus far and they’re working on new and improved machine learning algorithms while maintaining a library of common CV fixes.

"The online review technology scans for keywords from the world of programming and how they are used in the resume, relative to the best practices in the industry" [said Stetsenko].

The service is live now and the team expects the corpus of information to grow and improve over time."

Reported Results

"10,729 professionals have compiled their resumes." (



Human Resources



"How can you make your CV eye-catching? What should you remove from your resume and what technology keywords are worth including? What verbs can help you emphasize your tech skills?" (Linkedin)



1 million tech resumes, keywords

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