Full-Stack Developer
AsynqAI hiring automation
AI hiring platform with candidate scoring, a bulk resume analysis pipeline and an autonomous AI interviewer that runs real candidate conversations.
01
The problem
Recruiters hiring at volume spend much of their time reading resumes and running first-round conversations. Asynq automates both, and it has to stay usable by recruiters who are not technical.
02
What I built
As a full-stack developer at Asynq, I built the core of the hiring automation platform: candidate shortlisting and scoring, resume analysis at scale, and an agentic AI interviewer that holds context-aware conversations with candidates.
- 01Candidate scoring engine that analyses hundreds of resumes concurrently
- 02Agentic AI interviewer that runs autonomous, context-aware conversations
- 03Async job processing on BullMQ queues with a Redis caching layer
- 04End-to-end type-safe backend in TypeScript and tRPC
- 05Designed so non-technical recruiters can use every part of it
03
Impact
- resumes scored concurrently
- 100s
04
Stack
- TypeScript
- tRPC
- Node.js
- BullMQ
- Redis
- MongoDB
- React
- LLM Integration
05
Questions
What does Asynq do?
Asynq automates hiring: it scores candidates, analyses resumes in bulk and runs first conversations with candidates through an AI interviewer.
What did Harsh Rastogi build at Asynq?
As a full-stack developer he built the core platform: the candidate scoring engine, the resume pipeline on BullMQ and Redis, the agentic AI interviewer and a type-safe TypeScript and tRPC backend.