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AI data processing · Recruitment data project

CVFinder WinMatch

An asynchronous processing pipeline that analysed more than 7,000 CVs, using generative AI (Gemini and ChatGPT APIs) to extract and structure candidate information.

Private production app
AI × DATAPIPELINE OVERVIEW

7,000+ CVs. One clear pipeline.

Documents go in unstructured. Generative AI reads them. Consistent candidate data comes out.

  1. 01
    CV intake

    CV files arrive in bulk, in many layouts and formats.

    Any layout in.
  2. 02
    Job queue

    Each CV becomes its own background job.

    No single long request.
  3. 03
    AI analysis

    The Gemini and ChatGPT APIs extract and analyse the key information.

    AI does the reading.
  4. 04
    Structured data

    Candidate information is stored in consistent fields.

    Ready to use.

AI reads. Data comes out clean.

Architecture overview · the application itself is private

Illustrative diagram of the processing flow, not a product screenshot.

My role
Full Stack Developer
Timeline
Recruitment data project
Focus
AI · Data Pipeline · Recruitment
Technology
Asynchronous job pipeline / Gemini API, ChatGPT API

01 / The brief

Behind the
experience.

CVFinder WinMatch needed to turn a large volume of CV documents into structured, usable candidate information.

I architected an asynchronous pipeline that processed more than 7,000 CVs, integrating the Gemini and ChatGPT APIs for data extraction and analysis.

Each document is processed as an independent job, so large batches run in the background rather than in a single long request. The application itself is private, so this page describes the architecture instead of showing client screens.

02 / My contribution

Thought through.
Built with care.

My role on this project was Full Stack Developer. The work is presented with its project context and technology below.

03 / The details

Where the work comes together.

01

Volume

Processing thousands of documents reliably without tying the whole batch to one request.

02

Unstructured input

CVs arrive in different layouts and wording; generative AI turns them into consistent, structured fields.

The products behind the collaboration

Jobisque

The foundation

The right tools
for the job.

Processing
Asynchronous job pipeline
AI
Gemini API, ChatGPT API
Task
Data extraction and analysis

The outcome

From an idea
to something real.

7,000+ CVs processed · Async Job pipeline · Gemini · GPT AI extraction

7,000+CVs processed
AsyncJob pipeline
Gemini · GPTAI extraction

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