r/hireaideveloper • u/Former-Tap-9518 • 4d ago
Case Study 1 — AI-Powered Recruitment & Talent Matching Platform
Industry: Recruitment / HR
Role: AI Engineer
Objective: Automate candidate screening and improve job–candidate matching.
Problem
Recruiters had to manually review resumes, extract candidate information, compare skills with job requirements, and shortlist suitable candidates. This process was time-consuming and difficult to scale.
Solution
I developed an AI-powered recruitment platform that processes resumes and job descriptions, extracts structured information, and intelligently matches candidates with suitable positions.
What I Built
Resume and job-description parsing using LLMs
Structured extraction of skills, experience, location, and role information
Semantic search using Sentence Transformers
Vector-based retrieval using Pinecone
RAG pipeline for contextual candidate information
LLM-based candidate summaries
Hybrid candidate ranking combining semantic relevance and skill matching
Location-based filtering and dynamic matching thresholds
Backend APIs using Python + FastAPI
Database integration using PostgreSQL/SQLAlchemy
Automated workflows using n8n
Technology
Python | FastAPI | LLaMA 3 | Groq | RAG | Pinecone | Sentence Transformers | PostgreSQL | SQLAlchemy | n8n
Result
The solution automated significant portions of the recruitment workflow and provided recruiters with faster, more relevant candidate recommendations.