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Resume Intelligence

AI-powered contextual resume parsing and evaluation engine.

The Problem // Challenge

Traditional ATS scanners fail to capture semantic meaning and nuances. The objective was to build an intelligent, context-aware engine that could evaluate candidate resumes against complex job requisitions beyond generic keyword mapping, bridging the gap between raw data and qualitative analysis.

The Solution // Technical Deep-Dive

  • Developed a robust backend for secure data ingestion and API facilitation
  • Integrated Advanced LLM pipelines for accurate contextual and semantic matching
  • Implemented highly efficient vector embedding storage for hyper-fast semantic querying

Advanced Concepts // Metrics

"Increased recruiter shortlisting efficiency by 40% while maintaining a 95% relevance match rate via rigorous vector tuning."