---
title: "Discussion on \"How I Built Semantic Job Matching for Jobspiq\" | Hashnode"
description: "Discussion on \"How I Built Semantic Job Matching for Jobspiq\". In the previous post, I wrote about how I built the crawling and ingestion pipeline for Jobspiq.\nAt that point, I had a different problem.\nI could collect thousands of jobs.\nBut collecting jobs was on"
url: "https://hashnode.com/posts/how-i-built-semantic-job-matching-for-jobspiq/6ab3f92379efe88d7cf9a31a"
---

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# [How I Built Semantic Job Matching for Jobspiq](https://jobspiq.hashnode.dev/how-i-built-semantic-job-matching-for-jobspiq?utm_source=hashnode&utm_medium=feed)

In the previous post, I wrote about how I built the crawling and ingestion pipeline for Jobspiq. At that point, I had a different problem. I could collect thousands of jobs. But collecting jobs was on

Sep 23 · 6 min read · jobspiq.hashnode.dev  
Updated Oct 19  
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-   [#job-hunting](https://hashnode.com/tag/job-hunting)
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## Written by

[Jaydeep Goswami](https://hashnode.com/@jaydeepgoswami)

@jaydeepgoswami · Bengaluru, India

  
[View profile](https://hashnode.com/@jaydeepgoswami)

I’m a Senior AI engineer and the founder of Jobspiq (jobspiq.in), an AI job search platform for tech professionals in India. Jobspiq started as a script for my own job search: it checked job portals and matched new roles to my skills. After it helped me get hired, I turned it into a platform. It checks multiple job sources every 30 minutes, gives every job a Match Score showing the skills you have and the ones you’re missing, and alerts you to strong matches, usually within a minute. Every feature is free during the beta. By day, I’m a Senior AI Engineer at Accenture. Before that, I spent four years at VVDN Technologies building backend services with Python, Django, Redis, RabbitMQ, and Kubernetes.

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