graph by datavruti
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For your role

Where does your resume lose out?
Pick your role and see.

We have spent years hiring for AI, data and analytics roles. Reading real resumes, we saw where strong candidates lose out, and it is different for every role. None of it is about ability, and every gap is fixable.

Choose your role

What do you do?

Pick the closest match. Each role loses out in a different way, so the gaps, and the fixes, are different too.

Data EngineersCredibility gapOver 8 in 10of the improvements resumes claim are round figures, like 30% or 40%See the 4 gaps Data ScientistsDecision gapAlmost noneuse the word “owned” to describe their workSee the 3 gaps AI & ML EngineersTranslation gapAbout halfalready cite papers or patents, yet the fundamentals rarely appearSee the 4 gaps
How graph helps

Catch it while you still remember it

Every gap above has the same cause: the detail was real, but nobody wrote it down at the time. graph asks for it while the work is fresh.

When you ship something, add a quick note. graph asks the follow-up questions a hiring panel would: throughput, latency, edge cases, the decision you made and why. Your answers become a resume tailored to a job description, an interview prep sheet built from your own stories, and a profile you can share when you choose to.

See how it works or read why we built it.

Make your work impossible to overlook.

Start with your resume. graph shows you what it understood and what is missing.

Start with your resume*Free to start, no credit card required