AI Hiring Workflow & Candidate

AI Hiring Workflow & Candidate Automation System

I built an end‑to‑end AI‑powered hiring workflow that automates the entire candidate lifecycle — from screening to onboarding. This system replaces manual review, inconsistent communication, and slow decision‑making with a clean, structured, and fully automated pipeline.

What it does: • Screens resumes and applications with role‑specific criteria • Extracts skills, experience, and red flags automatically • Generates structured candidate summaries for fast review • Automates candidate communication and follow‑ups • Schedules interviews and routes candidates to the right stage • Delivers onboarding steps and training materials automatically

Why it matters: Hiring is one of the most chaotic operational areas for most teams. This system turns it into a predictable, auditable workflow that saves hours per week and improves candidate experience.

Tech used: AI models, embeddings, workflow automation (n8n), async operations, secure data handling, custom scoring logic.

Outcome: A fast, fair, and scalable hiring pipeline that reduces time‑to‑hire, improves clarity, and eliminates repetitive manual work.