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Nezend Group — Automated Shopify-to-PDF Catalog System
Built an automated Shopify-to-PDF catalog system for NEZEND GROUP.
The workflow retrieves current product data, regenerates a structured CSV, renders separate suggested-price and wholesale catalogs with Node.js, Puppeteer, and PHP, validates the output, and publishes the updated...
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Hi Contra! I’m Daniyal, an SEO specialist working with e-commerce and service businesses.
Lately, I’ve been focusing on a problem I see often: businesses publish more content, but the pages that could bring in customers still have technical issues, weak internal links, or unclear search intent.
My work starts with finding those gaps, then fixing the pages that matter most. I work across technical SEO, content strategy, and Shopify and WordPress sites.
If you’re working on an online store or a service website, what’s your biggest SEO challenge right now? I’d be happy to share a practical suggestion.
Great approach. Fixing the right pages can make a big difference in SEO.
𝐉𝐨𝐛 𝐡𝐮𝐧𝐭𝐢𝐧𝐠 𝐨𝐧 𝐡𝐚𝐫𝐝 𝐦𝐨𝐝𝐞
B2 English, based in Argentina. Payment preferably in USDT. Remote only. Quite a combination, right?
I built an AI-assisted job-search system around Freehire and Hirify. Both platforms offer official API/CLI access for automation, which makes them much easier to connect to an agent workflow. Simple Python scripts collect job listings and run the first pass of filtering against strict rules.
Then agents double-check the requirements, match them against my experience, and tailor my CV to each role. They highlight relevant projects and technologies I've actually worked with. Final review and approval stay with me.
𝐀𝐬 𝐨𝐟 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟐𝟔:
✅ 20 applications sent;
✅ 8 HR screenings passed;
✅ 1 video screening completed and submitted.
🚀 Technical interviews are still ahead.
I'm not ready to write off the market. Even with my constraints, things are moving.
A job search deserves 𝐚𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨𝐨: clear rules, automation, and checks on the results.
$238K in revenue in month one, and costs down 47%.
That's what happened when a US life insurance agency moved from a stack of separate tools onto one AI sales floor I built.
- An AI voice agent screens every caller and fills the CRM live
- Supervisors can barge in, whisper, transfer or conference on any live call
- Every application tracked from submitted to paid
- Commissions calculate themselves on approval
- Publishers get their own portal and automatic end-of-day reports
Full case study on my profile.