<?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/bbafe990ebf04a378e7204e837c55e87&quot; frameborder=&quot;0&quot; width=&quot;1658&quot; height=&quot;1243&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1243</height><width>1658</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1243</thumbnail_height><thumbnail_width>1658</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/bbafe990ebf04a378e7204e837c55e87-7b06d82dd9a3b5b7.gif</thumbnail_url><duration>299.99</duration><title>Automated Candidate Evaluation System Overview</title><description>In this video, I showcase my work on an automated Applicant Tracking System (ATS) that I&apos;ve developed over the past 8 to 9 months at Firebase. I walk you through the candidate application process, highlighting how our system evaluates resumes, schedules interviews, and communicates with applicants. I also explain the various pipelines for different roles, such as Software Development and DevOps, and how we handle submissions that don&apos;t meet our standards. Please take a moment to review the demo and let me know if you have any questions or feedback on the automation process.</description></oembed>