Asia/Karachi
ProjectsFeb 1, 2026

Zippit AI Content Engine: Automated SEO Blog System

Musaab Javed
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Zippit is a Dutch DTC health brand helping 80,000+ customers sleep and breathe better with medical-grade mouth tape and nasal strips. They were spending $1K/month with a content agency for SEO blog articles. The constraint was structural rather than anyone's execution: per-article pricing caps output long before it reaches daily publishing in two languages. The brief was an automated system that holds content quality and meets Google's post-2023 EEAT expectations at a much higher cadence. I built a fully automated content factory that produces 2+ bilingual (English + Dutch) SEO articles every day, end-to-end, with a single human review checkpoint. Content Pipeline, The system pulls topics and source material by date range, passes them through a structured LLM chain, and produces full drafts with proper H1/H2 structure, internal linking anchors, and meta descriptions. No manual assembly, no brief writing. EEAT Quality Layer, To satisfy Google's post-2023 ranking requirements around expertise and credibility, every article is enriched with citations pulled from Perplexity and backed by a Pinecone RAG store. The system doesn't just generate content, it grounds it in verifiable sources. Shopify Multi-Language Publishing, Articles publish natively to Shopify via the GraphQL Translations API. One URL, two language versions, zero duplicate page penalties. This doubles the indexed content surface compared to a separate-subdomain approach. Scale, 30+ articles/month, fully automated, at $50–100/month in API costs versus the previous $1K/month agency spend.
  • 10–20x cost reduction ($1K/month agency → $50–100/month in API costs)
  • 2+ bilingual articles published daily with a single review checkpoint
  • 15–30% month-over-month organic traffic growth
  • 30+ articles/month fully automated end-to-end
  • 20+ manual hours/week reclaimed

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Equity Pulse: Automated Portfolio Intelligence for Retail Investors

Built an end-to-end portfolio analysis engine for retail investors, OCR ingestion, per-holding fundamental enrichment, Graham Fair Value scoring, and AI-written PDF reports delivered by email.
Problem
Your broker shows prices. Not answers.
Solution
Screenshot in. Advisor-grade PDF out.
GPT-4o Vision
GPT-4o-mini
Yahoo Finance API
Google Sheets
html2pdf.app
SendGrid

Arabic OCR Post-Correction: A 0.5B Model That Makes Scanned Archives Searchable

A 0.5B language model, fine-tuned with LoRA on 57k synthetic pairs, that repairs Arabic OCR output. Word error rate falls from 41% to 20% on held-out text. Trained in 80 minutes on a laptop GPU, and it runs on CPU, on-premise.
Problem
Scanned Arabic archives are indexed and still unsearchable.
Solution
A 0.5B model repairs the OCR. Word errors halved.
Qwen2.5-0.5B
LoRA / PEFT
PyTorch
Hugging Face
Python