HR Tech: Building an AI-Powered Recruitment Platform
Automating resume screening for a global staffing agency.
The Challenge
H.R recruiters spent 70% of their time reading irrelevant resumes. They needed a system to parse PDFs, extract skills, and rank candidates against job descriptions automatically.
The Solution
H.R's product leadership defined the target: a 'Matching Engine' that could rank candidates automatically. GTEMAS built it with a dedicated team. Using NLP, the team parses resumes into structured JSON. We then use vector embeddings to calculate a semantic match score between the candidate and the Job Description, surfacing the top 10% instantly.
Architectural Strategy
Serverless architecture on AWS Lambda to handle burst resume uploads. Vector database (Pinecone) for semantic search.
Impact & Achievements
Recruiters transformed from 'resume readers' to 'talent advisors'. The agency doubled its placement volume without hiring more staff.
Reduction in manual review
Increase in successful hires
Blind screening features
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