Rolewise Resume Matching

Overview & Result

Rolewise retrieves job descriptions, sends each resume–job pair to Jev, and asks for one suitability decision; the author reports 838 evaluations in 61.3 seconds with 20 requests in flight.

How Jev fits in the loop

1. A retrieval service supplies job descriptions and filters.
2. Jev makes one bounded suitability decision for each resume–job pair.
3. The application uses the decisions to narrow the opportunity list and sends uncertain cases to review.

How to reproduce

1. Separate resume parsing and job retrieval from the decision stage.
2. Run a small fixed set of resume–job pairs with one suitable / not-suitable question.
3. Add human labels for borderline cases before using the result for ranking or outreach.

Why this build matters

It is a clear example of simplifying a fuzzy matching workflow into a single typed decision and measuring throughput without pretending that throughput proves accuracy.

Reported performance

Latency: 61.3 seconds for 838 jobs in the cited run

Limitations

• No human-agreement or accuracy result was reported in the reviewed post.
• Resume and job data can contain sensitive personal information and needs appropriate handling.
• The cited throughput should not be generalized to a different retrieval provider or concurrency level.

Patterns