MUHAMMADABDUL MATEEN QAZI

Founder and Director of Strategro Ltd (UK-registered, Companies House 16081510), a product-led digital technology company building AI-powered business process automation for SMEs using n8n, OpenAI, RAG systems, and production-grade data workflows. Electronics engineer and business analytics graduate with hands-on experience delivering automation solutions that reduce manual work by 60–95%, run 24/7, and generate measurable ROI for UK and international clients across logistics, real estate, marketing, and professional services. Demonstrated exceptional promise in AI automation through deployed multi-client chatbot infrastructure, SEO content engines, RAG-based proposal systems, logistics quotation tools, and real estate workflows recognized by academic and industry referees as emerging leadership in digital technology innovation.

Business Process Optimization, AI & Automation for SMEs, E-commerce, Digital Marketing, Technology Innovation, Traveling

Multi-Client RAG Chatbot Infrastructure for SMEs

• Designed scalable single-infrastructure platform serving multiple SME clients simultaneously with isolated Pinecone vector database namespaces per client for data security.
• Implemented automated Google Drive document ingestion with scheduled checks, file hash-based change detection to avoid redundant processing, and incremental embedding updates.
• Integrated Supabase/Postgres for client metadata, conversation history, and business information management with OpenAI GPT-4 for context-aware intelligent Q&A.
• Deployed for Strategro and Peerz Ltd handling hundreds of customer queries monthly with 24/7 coverage, 4.5x more availability than human agents, and 80–85% lower support cost while improving response quality and consistency.

AI SEO Content Pipeline (Strategro Ltd)

• Built end-to-end weekly automation selecting trending topics from keyword sheets, aggregating research from 10+ high-quality sources via Perplexity API, generating structured outlines, writing 2,000–2,500 word SEO-optimized articles with OpenAI, fixing citation formatting with custom JavaScript, and auto-publishing to WordPress with featured images.
• Reduced content production time by ~90% (from 6–8 hours to ~30 minutes of human review per article) and content creation cost by 85–90%, enabling consistent weekly publishing without expanding headcount and supporting measurable organic SEO traffic growth.

RAG-Based Upwork Proposal Writer & LinkedIn Outreach Automation

• Implemented retrieval-augmented generation pipeline that embeds CV, portfolio, and past project descriptions into Pinecone, retrieves most relevant experience chunks based on job description semantic similarity, and generates personalized 180–220 word proposals tailored to each Upwork job posting using OpenAI.
• Achieved 90% reduction in proposal creation time (from 15–20 minutes to 2–3 minutes per proposal), increased daily proposal capacity 4–5x (from 5–10 to 30–50 proposals/day), and measured increase in proposal win rate from baseline 1–2% to 25–35%.
• Extended system to generate custom LinkedIn connection request messages for targeted outreach campaigns, maintaining personalization at scale without spam.

Freight Quote Calculator – Peerz Ltd (UK Logistics)

• Created real-time freight pricing engine using n8n web forms for customer input, Google Maps Distance Matrix API for route distance calculation, and custom JavaScript pricing scripts incorporating distance, vehicle type (van/7.5t/18t), service level (economy/standard/express), pallet count, weight bands, surcharges, and VAT.
• Integrated automated lead capture to Google Sheets CRM and instant email quote delivery, enabling 24/7 quote availability and immediate customer service.
• Delivered as Phase 2 of documented multi-phase digital transformation agreement with Peerz Ltd, reducing quote generation time from 5–10 minutes to real-time (seconds), achieving 95% faster response to quote requests, eliminating 100% of manual calculation errors, and enabling higher conversion rates through speed and accuracy.

Real Estate Lead & Document Automation

• Automated complete lead-to-document workflow from web form submission through Google Sheets CRM entry, automated Google Drive folder structure creation (client folders, document subfolders), generation of secure document upload links, automated email notifications with instructions, and scheduled follow-up reminder emails to clients and agents.
• Cut administrative time per real estate deal by 85–90% (from 30–60 minutes to ~5 minutes of setup), reduced document collection turnaround time by 50% (from 2–4 weeks to 1–2 weeks), and eliminated manual data entry errors and missed follow-ups.

Fake Review Detection Using Hybrid ML Ensemble (MS Thesis)

• Developed hybrid ensemble model combining Multi-Layer Perceptron (MLP) neural network and Stochastic Gradient Descent (SGD) classifier for fake review detection, achieving 92% classification accuracy and 0.95 ROC-AUC score on benchmark dataset.
• Demonstrated strong robustness against GPT-4-generated synthetic fake reviews through adversarial testing, addressing emerging AI-generated content detection challenges in e-commerce trust and safety.
• Produced comprehensive business implementation roadmap including cost-benefit analysis for e-commerce platforms, ROI modeling for review moderation deployment, trust restoration strategies, and ethical considerations framework – graded A by academic committee and recognized by referee as demonstrating research and analytical capability.

• Coursera
• Tableau Certification
• Foundations: Data, Data, Everywhere (Google Data Analytics)
• Ask Questions to Make Data-Driven Decisions (Google Data Analytics)
• Digiskills
• Graphic Designing