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Utilnivo

AI & Writing

Utilnivo

Resume Profile Consistency Checker

Compare resume, LinkedIn, and GitHub for conflicts before you apply.

No registration
  • Online lookup

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Online lookup

Resume and LinkedIn text stay on your device. Your browser sends only the GitHub username (and optional token) to api.github.com. Utilnivo does not store your profiles.

Related tools

Upload or paste your resume, add a LinkedIn Save-to-PDF export or pasted profile text, and enter a GitHub username. The tool aligns employers and projects, then flags conflicts (for example a Python GitHub repo described as Java), gaps between sources, and opportunities to claim evidence you already have. Resume and LinkedIn stay on your device; only the GitHub username is sent to GitHub’s public API.

Recruiters often open LinkedIn and GitHub immediately after reading a resume. Inconsistent titles, dates, or project languages create avoidable doubt even when the candidate is qualified. A structured consistency pass catches those mismatches before you apply.

LinkedIn has no public profile API, so the honest approach is user-supplied PDF export or paste. GitHub’s public API can load repositories and language byte counts from the browser, which is why only the username leaves the device.

GitHub language statistics measure dominant file bytes, not the skill you personally used most. Monorepos, generated assets, and forks can skew the signal—so every language conflict is phrased as something to verify rather than an accusation.

How to use this tool

1) Upload a resume PDF/DOCX/TXT or paste resume text. 2) Upload a LinkedIn “Save to PDF” file or paste profile text. 3) Enter a GitHub username (optional personal access token if you hit rate limits). 4) Confirm suggested employer and project matches. 5) Review conflict, gap, and opportunity findings—dismiss anything that does not apply. 6) Export a Markdown fix checklist or JSON snapshot.

Worked example

A candidate listed an “Inventory API” project as Java on their resume while the matching GitHub repository was ~87% Python. The checker confirmed the project match, reported a conflict with plain-language fix suggestions for the resume and README, and also noted TypeScript appearing in multiple repos but missing from the resume skills list.

When to use this

  • Before submitting applications when your resume, LinkedIn, and GitHub should tell one story.
  • After changing jobs or titles when one profile is likely stale.
  • When public GitHub projects are part of your portfolio and you want skills claims to match repository evidence.

Common mistakes

  • Treating every GitHub language mismatch as a resume error without checking READMEs or monorepo layout.
  • Skipping the match-review step and accepting weak employer or project alignments.
  • Assuming LinkedIn paste without Experience headings will parse as well as a Save-to-PDF export.

How it works

Upload or paste your resume, add a LinkedIn profile export or paste, and enter a GitHub username. The tool normalizes skills, employers, dates, and projects on your device, aligns matching entities, then flags conflicts (for example a Python GitHub repo described as Java), gaps between sources, and opportunities to claim evidence you already have. Resume and LinkedIn text stay in the browser; only the GitHub username is sent to GitHub’s public API.

Limitations

Findings are heuristic comparisons across resume, LinkedIn, and GitHub data. GitHub language stats measure file bytes and can disagree with how you describe a project. Always verify before changing profiles; this tool does not guarantee hiring outcomes.

Privacy and file handling

Resume and LinkedIn text stay on your device. Your browser sends only the GitHub username (and optional token) to api.github.com. Utilnivo does not store your profiles.

FAQ

Frequently asked questions

Does this scrape LinkedIn?

No. LinkedIn has no public profile API. You upload a LinkedIn “Save to PDF” export or paste profile text. LinkedIn data stays on your device.

What data leaves my browser?

Resume and LinkedIn text are parsed locally. Only the GitHub username (and an optional personal access token you enter) is sent to api.github.com from your browser. Utilnivo does not store your profiles.

Why might GitHub language stats disagree with my resume?

GitHub reports dominant languages by file bytes. Generated HTML, monorepos, or forks can skew that signal. Findings ask you to verify—not assume the resume is wrong.

Can I use this without GitHub?

Yes. Load a resume and LinkedIn profile to compare titles, dates, skills, education, and certifications. GitHub adds project-language and unclaimed-skill evidence when available.

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