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HackerRank avatar

Hiring Agent

LLM pipeline that parses resume PDFs and scores candidates

  • AI apps
  • Productivity
View on GitHub

What it is

A Python command-line pipeline that converts resume PDFs to text, extracts structured sections with an LLM, pulls in GitHub profile and repository signals, and produces a scored evaluation with category scores, evidence, bonuses, and deductions. It runs locally through Ollama or against Google Gemini, with prompts kept as editable Jinja templates. Recruiters and engineering teams facing large applicant pools can use it to rank resumes and decide which to read first, and candidates can inspect the rubric behind the scores.

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Facts

Stars
7,322 GitHub stars.
7,322

Forks
1,425
Commits
126
Contributors
18
Language
Python
License
MIT
Last commit
Oct 5, 2026
On GitHub since
July 2025
Platforms
CLI
Self-hostable
No
Tags
  • job-search
  • pdf
  • structured-output
  • document-parsing
  • ai-agents
  • local-ai

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 21, 2026
  • Bluesky“hiring-agent AI agent to evaluate and score resumes.”Jun 11, 2026 · 2 likes · 0 replies (opens Bluesky in a new tab)
  • Bluesky“The folks at HackerRank have apparently released one of the worst use cases for AI I've ever seen”Jun 29, 2026 · 0 likes · 0 replies (opens Bluesky in a new tab)
  • Bluesky“hiring agent scores a stack of resumes against your role and hands back a ranked shortlist. Open-source, Python, self-hostable so data stays on your machine…”Jun 25, 2026 · 0 likes · 0 replies (opens Bluesky in a new tab)
  • Bluesky“interviewstreet/hiring-agent AI agent to evaluate and score resumes. Hiring Agent Resume-to-Score pipeline that extracts structured data from PDFs, enriches…”Jun 25, 2026 · 0 likes · 0 replies (opens Bluesky in a new tab)