Qingyuan Yang

Qingyuan Yang

Building Aural — AI Interview Platform

About

Helping companies hire smarter with AI. Currently building Aural, an AI-powered interview platform that automates candidate screening through voice and video interviews. Previously: • Associate Partner @ McKinsey — Led AI transformation projects across battery, electronics, and retail industries • Data Science @ Uber — Built ML systems for efficiency improvement Education: MBA @ Georgetown, BS Applied Mathematics @ Wuhan University Technical: Software Engineering, AI/ML, Cloud Based in Hong Kong 🇭🇰 🚀 Currently in beta: aural-ai.com

Badges

Tastemaker
Tastemaker
Gone streaking
Gone streaking

Forums

We're launching soon — what's your biggest pain point with interviews?

Hey everyone! I'm building Aural, an AI-powered interview platform that conducts structured interviews through chat, voice, and video so teams can run hundreds of conversations without the scheduling nightmare.

The idea came from a simple frustration: conducting interviews at scale is painfully manual. You schedule, you show up, you take notes, you do it again 50 more times. Whether it's user research, hiring screens, or customer discovery the process hasn't changed in decades.

View more