Resume / CV

Specialized OCR and NLP model for analyzing and extracting data from resumes, CVs and professional profiles in any format: PDF, Word, scanned image or structured document.

• Personal data: full name, email, phone, address, date of birth, LinkedIn and portfolio.
• Work experience: company, position, start and end dates, role description and achievements for each position.
• Education: institution, degree, dates, specialization and relevant grades.
• Languages: language and proficiency level (native, advanced, intermediate, basic).
• Technical skills: technologies, tools, frameworks, methodologies and professional competencies.
• Certifications: certificate name, issuing body, date obtained and validity.

• Bulk CV parsing for job boards and ATS (Applicant Tracking Systems).
• Automatic candidate screening in recruitment processes.
• Candidate data normalization for talent databases in staffing agencies and HR consultancies.
• Automatic profile enrichment in recruitment CRMs.
• Digitization of physical CV archives in HR departments.
• Automatic matching between job requirements and candidate profiles.