Screening CVs Into Structured Hiring Decisions
QGroup provides recruitment and staffing services across industries such as IT, finance, compliance, marketing, and cybersecurity. As the number of applicants grew, reviewing CVs and tracking candidates through different hiring stages became harder to manage manually. To address this, a platform was developed to capture CV data and track candidates from screening to final hiring decisions.
R&D & Innovation
Supporting Recruitment Operations
The QTS platform was developed to support recruitment operations by organizing candidate data and structuring the hiring process within one system.
A key capability introduced in the platform is automatic CV data extraction. The system reads CVs and PDF files and captures important information such as skills, work experience, and education. This allows recruiters to review candidate details quickly without manually extracting information from documents.
A key capability introduced in the platform is automatic CV data extraction. The system reads CVs and PDF files and captures important information such as skills, work experience, and education. This allows recruiters to review candidate details quickly without manually extracting information from documents.
Track Candidates Across Hiring Stages
The system also introduces stage-based candidate tracking, allowing applicants to move through defined recruitment steps such as CV screening, candidate evaluation, interviews, and final selection or rejection.
Structured Candidate Profiles
Candidate information is stored in structured profiles, enabling recruiters to review, compare, and evaluate applicants more easily. By organizing candidate records and recruitment stages in one platform, the system supports a more consistent hiring workflow.
Technology Stack
The work order planning system was developed using .NET and React, with SQL Server used to manage operational data. This setup supports reliable handling of repair requests, technician assignments, and material records while keeping service and cost data organized within the platform.
Operational Excellence
This project started with clear requirements around how candidate data should be captured and how the recruitment process should be organized. These requirements guided the work of the development, design, and testing teams while building the system.
AI supported the teams during the development process, especially while working on CV data extraction. It helped structure how information such as skills, experience, and education is captured from CVs and PDF documents. This allowed the team to refine how candidate data is read and organized within the platform.
AI also assisted developers during coding and system reviews. It helped check logic, highlight potential issues, and support documentation. This made it easier for the team to focus on building a clear structure for candidate profiles and recruitment stages.
Design team focused on making the platform simple for recruiters to use. Candidate profiles, hiring stages, and evaluation steps were organized in a way that allows recruiters to quickly review and compare applicants.
Similarly, Testing team verified that candidate data is captured correctly and that applicants move properly through the recruitment stages. They all worked had broken down their work in small assignments to deliver the best result at the end.
Impact and further Exploration
By structuring candidate data and hiring stages within a single platform, we have streamlined how recruitment teams review applications and manage overall hiring workflows.
To see the solution in action, visit the Array 1 website.
To see the solution in action, visit the Array 1 website.
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Visit Array 1
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