Taimour Tariq

Ai Automation Engineer

Xperts • Part-time

Jul 2026 - Present • 4 mos

Designed and built an end-to-end browser automation agent that fully automated the backlink/bookmarking workflow for an SEO service — turning a slow, manual process into a scalable, self-running system that saved hours of work per campaign. Key contributions: Built an intelligent browser automation agent that ingests bookmarking site lists and Excel data, then automatically extracts and maps required fields (title, keywords, description, URL) into each target site's unique submission form — no manual copy-pasting required. Engineered a panel-based, multi-action workflow capable of handling URL submission, structured website-data entry, and automatic backlink logging across dozens of different site layouts and submission panel structures, with zero manual reconfiguration needed. Built a dedicated export module that compiles all backlink activity into a clean, structured Excel report — giving the SEO team a real-time, audit-ready record of every successful submission. Developed an independent web scraper with a built-in Domain Authority (DA) checker to discover, validate, and rank bookmarking sites across the web — automatically filtering out low-authority and dead sites, and producing a high-quality, structured Excel dataset that feeds directly into the automation agent. Combined both systems into a fully self-sustaining pipeline: from discovering and vetting high-DA sites, to automated submission, to backlink reporting — with no manual intervention at any stage. Impact: Cut manual backlink submission time dramatically, ensured only high-authority sites were targeted (improving SEO link quality), standardized data entry across dozens of platforms, and delivered a reusable system the SEO team could rerun for every new campaign without rebuilding the workflow from scratch.