Rolewise: Resume-Job Matching with Jev
Zhilin Wang@zhilinjerrywag
1:23Rolewise is a demo application that uses Jev to determine if a resume is suitable for a given job description, processing 838 jobs in 61.3 seconds.
TakeRetrieval and evaluation are separate steps, so you can inspect the jobs before running Jev.
Spent some time testing #Jev on a use case I care about: matching a resume against real job descriptions.
I built a small demo called Rolewise. @metix_ai handles job retrieval; Jev handles the fit decision.
The setup:
- Parse the resume and generate editable search filters.
Retrieve jobs and full descriptions through the Metix AI API.
- Send each resume–JD pair to Jev, with 20 requests in flight.
- Ask for one decision: suitable or not suitable.
One run: 838 jobs evaluated in 61.3 seconds. That excludes parsing and retrieval.
I started with multiple scoring dimensions, then simplified the task to a single fit decision. For this demo, I wanted to see whether Jev could help someone narrow a list of opportunities without adding another scoring system to interpret.
The recording shows actual requests completing—no simulated progress. Retrieval and evaluation are separate steps, so you can inspect the jobs before running Jev.
This is a throughput result, not an accuracy benchmark. I haven’t established how reliably those decisions agree with a human reviewer yet. That’s the next thing I’d test, especially on borderline cases.
Sharing this as a concrete Jev example. If you’re building something similar, I’d be curious how you’re defining “fit” and checking the results.
Job data/API: platform.metix.ai
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