WORK / AI explorations
HireMe Agent
An AI-assisted career tool that analyzes CVs, identifies skills, and finds relevant job opportunities.
Implemented AI prototype
View source on GitHub ↗01 / THE PROBLEM
Where it started.
Job searches require translating a personal profile into useful search criteria, then reviewing results across sources. This exploration brings CV input and recommendations into one interface.
02 / THE APPROACH
Making the problem concrete.
- 01
Start with CV input in the upload view.
- 02
Retain profile and search context in the application session.
- 03
Use configured job-search and model services.
- 04
Present recommendations in a separate results view.
03 / THE SOLUTION
A focused workflow.
The Streamlit entry point connects upload and results screens, integrating Groq model credentials and Adzuna job-search configuration with country selection.
- CV upload workflow
- Session-based search context
- Job-search service configuration
- Separate recommendation results view
04 / TECHNICAL DECISIONS
The choices behind it.
Separate input and results
The entry point routes between dedicated upload and results modules using session state.
External service adapters
Configured model and job-search services supply relevant vacancies dynamically.
05 / MY CONTRIBUTION
Scope and responsibility.
Implemented the CV parsing workflow, career query prompt generation, and external job API adapter in Streamlit.
06 / EVIDENCE & LIMITATIONS
What the evidence shows.
Screenshots are not available for this exploration. The linked public repository is the current source of evidence.
- Job recommendation accuracy is dependent on external job search service quotas and available API data.
- Session-based architecture without persistent user account storage.
No live demo is currently verified.
CONTINUE EXPLORING
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