interviewstreet/hiring-agent

Hiring Agent is a resume evaluation tool that extracts structured data from PDFs, enriches candidate information with GitHub signals, and produces a scored ranking of applicants.

The tool addresses the challenge of processing large volumes of resume submissions by automating initial ranking to help prioritize which candidates to review first. It works as a pipeline that parses resume PDFs, gathers supplementary signals from GitHub profiles, and uses a language model to generate fair and explainable evaluation scores. The project explicitly clarifies that it is not an applicant tracking system and not used to screen production roles at HackerRank; rather, it was built to rank intern applications so that human reviewers can focus on the most promising candidates first. Resumes scoring below a deliberately low cutoff are filtered out, but the vast majority of submissions pass through to human review where final hiring decisions are made.

The tool suits teams receiving high volumes of applications who want to automate initial resume ranking while preserving human judgment in final decisions. It ships with a local-running default model to avoid requiring cloud API keys, though the README notes that HackerRank's production evaluation uses a different top-tier model. The project is designed for Python environments and can be installed via pip with straightforward configuration.

Almost all open issues are raised by outside users rather than the core team, indicating a substantial base of adopters using the tool in real-world scenarios. Maintainers typically respond to new issues and pull requests within hours.