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Intelligent Recruitment Platform

AI-driven resume analysis and automated voice interviews for unbiased, scalable hiring.

HomePortfolioIntelligent Recruitment Platform
All case studies
Human ResourcesHR tech company

Timeline

14 weeks

Team

5 engineers + 1 PM

Client

HR tech company

The Problem

Recruiters drowned in resume stacks, passing over qualified candidates whose resumes didn't exactly match job descriptions. Inconsistent interview processes produced unreliable evaluations and delayed candidate feedback.

Intelligent Recruitment Platform

Our Approach

1

Bias Audit & Rubric Design (Weeks 1 to 3)

Partnered with the client's talent team to identify bias patterns in their historical data. Co-designed evaluation rubrics grounded in role competencies rather than pattern-matching against past hires.

2

Resume Intelligence (Weeks 4 to 6)

Built semantic parsing that extracts skills, experience context, and adjacent competencies, surfacing candidates whose resumes use different vocabulary for the same skills.

3

Voice Interview System (Weeks 7 to 11)

Integrated ElevenLabs for natural-sounding AI interviewers that adapt questioning based on candidate responses. Human interviewers get live scoring, follow-up prompts, and bias-flag alerts.

4

ATS Integration & Dashboards (Weeks 12 to 14)

Shipped two-way sync with Greenhouse and Workday, recruiter analytics dashboards, and candidate feedback loops that close the hiring data circle.

The Solution

We built an intelligent recruitment platform combining AI-driven resume parsing and ranking with automated voice interviews powered by ElevenLabs. Human interviewers get a co-pilot that surfaces questions and scores responses in real time. A visual pipeline and analytics dashboard gives hiring managers instant visibility into every stage.

Why This Tech Stack

ElevenLabs was chosen for voice quality that doesn't signal 'AI interview' to candidates, which was critical for NPS. Azure OpenAI handled structured scoring outputs with guaranteed JSON schema, making the co-pilot predictable enough for human interviewers to trust.

The Outcome

Compressed time-to-hire dramatically while improving evaluation consistency. Recruiters now surface qualified candidates they previously would have missed, and interview quality became measurably more consistent across hiring managers.

Key Metrics

5 days → same day

Time-to-first-interview

10× faster

Resume screen throughput

+42 points

Candidate NPS score

+78%

Interview scoring consistency

Tech Stack

ReactViteTailwind CSSPython DjangoAzure OpenAIElevenLabsConversational AIAzure CosmosDBAzure KubernetesDockerNginx

Project Details

Industry
Human Resources
Client
HR tech company
Timeline
14 weeks
Team
5 engineers + 1 PM
Service
AI App & Software Development
Solution
Recruitment AI Agent

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AI-Powered Invoice Automation

Next

Live Contact Center AI Co-Pilot

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