AI Recruitment & Voice Screening System
Automated Phone Interviews & Candidate Screening
Automation Builder & Developer
Full event-driven n8n workflow orchestrating ATS resume intake, OpenAI GPT-4 evaluation, ElevenLabs conversational voice agents, and Twilio telephony dispatch.
Phone Interviews
100% Automated
Candidate Feedback
Same Day (<24h)
Question Style
Resume-Based
Call Reliability
Smart Auto-Retries
Project Overview
High-volume outbound recruiting faces acute bottlenecks in candidate screening: manual resume triage is inconsistent, scheduling calls consumes hours, and candidate qualification data is scattered across spreadsheets. This system provides a resilient, autonomous pipeline from application submission to structured candidate scorecards.
The Problem
Recruiters spent 70% of their operational bandwidth conducting repetitive 10-minute screening calls to confirm baseline qualification (CRM experience, call targets, notice periods) and scheduling logistics.
Solution & Approach
I designed a complete automation pipeline orchestrating Google Workspace, n8n webhook pipelines, ElevenLabs Conversational Voice Agents, Twilio telephony, and OpenAI evaluation prompts. Candidates submit their ATS resume and select a 24-hour interview slot. At the scheduled time, the voice agent conducts an interview with contextual questions derived from their resume, transcribes the dialogue, and scores the candidate against strict rubrics.
Architecture & System Flow
Applicant Intake: Clean ATS application form capturing candidate credentials and preferred call window.
n8n Workflow Engine: Manages webhook routing, state validation, queuing, and exponential backoff retry logic.
ElevenLabs Conversational AI & Twilio: Voice agent executes dynamic telephone screening based on resume analysis.
LLM Evaluation Engine: Evaluates responses, verifies claimed experience, and outputs a 1–100 score with rubric breakdowns.
Live HR Dashboard: Real-time candidate pipeline displaying statuses, audio review links, and progression verdicts.
Key Capabilities & Features
Operational Retrospective & Lessons
“Conversational voice agents require defensive failure management: network dropouts, ambient background noise, and ambiguous candidate responses require explicit fallback triggers and human escalation loops rather than pure automation dogma.”
Project Specifications
AI & Automation
In Production
2023 – 2024
Automation Builder & Developer
The Health Harbour: Global Medical Tourism & Healthcare Facilitation Platform
Have a problem worth solving?
Whether you want to automate repetitive workflows, build a custom e-commerce tool, or need a hands-on partner for product and operations, I'd love to connect.