<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/ce7214d173224063a2ae51292c4619c5&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ce7214d173224063a2ae51292c4619c5-c0bf24978deb8ae8.gif</thumbnail_url><duration>253.355</duration><title>Automating Your Job Search with a Smart Pipeline 🚀</title><description>In this video, I provide a demo of my job search automation pipeline, which fetches job listings based on my profile using an API and evaluates them with an LLM scoring system. The pipeline categorizes jobs into &apos;jobs&apos; and &apos;rejected&apos; tabs, and I show how it processes job titles, extracting relevant requirements to optimize scoring. I ran the workflow, resulting in one job added and several rejections, and I explain how to interpret the scoring feedback. If you want to use this pipeline for your own job search, you&apos;ll need to adjust the queries and scoring parameters to fit your profile. Thank you for watching!</description></oembed>