The combination of Big Data mining and processing, Machine Learning, and Natural Language Processing ensures the smooth work of the matching algorithm and its precision. The platform’s back-end side has a microservice-based architecture developed in Django that ensures high flexibility and safety of the entire software. With the help of ElasticSearch and PostgreSQL, our developers created efficient modules for such functionalities as data scraping, candidate pre-check, candidate filtering by location, education, experience, etc. The system automatically imports data from open sources like LinkedIn, calculates to what extent a vacancy and a candidate match, sends emails to companies and candidates. Also, the platform allows administrators to monitor all matching steps (finding, importing, pre-processing, filtering, etc.) to track possible inconsistencies to fix them, create new pages in the admin dashboard, etc.
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