Overview
HireSense AI revolutionizes the recruiting process by combining vector search with RAG pipelines to analyze resumes and job descriptions at scale. The platform uses fine-tuned language models trained on hiring datasets to understand domain-specific terminology and provide accurate skill matching.
Key Highlights
- Built an AI-powered recruiting intelligence platform using HuggingFace Transformers, OpenAI embeddings, Pinecone, and RAG pipelines that combined vector search and structured metadata to analyze 10K+ resumes and job descriptions and generate automated skill gap reports
- Fine-tuned domain-specific language models on curated hiring datasets, improving skill-matching precision by ~17%
- Deployed scalable inference services using FastAPI, Docker, and AWS ECS, supporting 200+ concurrent users with real-time feedback
Technologies Used
Large Language Models (GPT-based, OpenAI API, HuggingFace)Prompt EngineeringTool and Function CallingRetrieval-Augmented Generation (RAG)Embedding ModelsSemantic RetrievalAutonomous ReasoningDecision Orchestration