Diwakar Badiger
Hero image
2025

Voice AI Calling Agent

An outbound AI caller that screens candidates end to end, cutting recruiter screening effort by 40%+.

Apna Jobs

Voice AI0→1B2BMarketplace
40%+
less screening effort
85%+
call completion rate
30%
lift in candidate completion
25%
better call quality
TL;DR

Recruiters on Apna spend most of their day on the phone qualifying candidates who were never a fit. I own the voice agent that takes that first call instead.

  • Launched an AI calling agent for SMBs and enterprises, reducing screening effort by 40%+
  • Built regional-language voice agents, lifting candidate call completion by 30%
  • Created Voice AI evaluation dashboards that improved measured call quality by 25%
  • Optimised latency and interruption handling to reach an 85%+ call completion rate
  • Drove execution with leadership and business teams across a 10-member engineering group

The problem

Add the context here: how many calls a recruiter made per hire, what share of those calls were wasted on unqualified candidates, and why the existing screening flow couldn't scale.

What I did

Replace this with the two or three decisions you'd defend in an interview — where you chose latency over accuracy, which languages you shipped first and why, and how you decided a call was 'good'.

Outcome

Close with the numbers above, plus what you'd do differently.