Automation Engineer & AI/ML Practitioner who builds voice agents, e-commerce automations, social media scrapers, and machine learning models that solve real problems.
Usman Naeem
I'm Usman Naeem, a BCSC Student in Minhaj University Lahore. I am an automation engineer and AI/ML practitioner who thrives on turning complex, repetitive processes into seamless automated systems. My work spans across multiple domains — from AI-powered voice agents and e-commerce store management to social media intelligence and CRM automation.
On the n8n side, I've built production-ready workflows including a Vapi-powered voice call agent for restaurant order management, a complete Shopify automation system with auto-tagging, duplicate checking, and daily performance reports, a multi-agent Apify scraping pipeline for Instagram and TikTok content intelligence, and HubSpot CRM integrations with website forms. I leverage Code nodes, webhooks, scheduled triggers, and multi-step logic to build workflows that genuinely replace manual work.
With Zapier, I've automated Stripe payment processing into HubSpot CRM with customer classification and follow-up email sequences, built Monday.com CRM automations from form submissions, and created an AI content writer that generates and publishes SEO-optimized blog posts directly to WordPress.
On the AI/ML front, I have hands-on experience building classification models — including an email classifier with auto-responder using Naive Bayes and NLP, a heart disease predictor with health recommendations, and a gym analyzer that uses regression to optimize workout routines. I work with Python, Pandas, Scikit-learn, and data visualization libraries to build the full ML pipeline from data cleaning to model evaluation.
The tools and technologies I use daily to build automation workflows and machine learning solutions.
Building production-grade automation systems for clients — including Vapi voice call agents, Shopify store management workflows, multi-agent social media scraping pipelines, Stripe-to-CRM payment automations, and AI content generation systems. Simultaneously developing ML models for classification, regression, and NLP applications.
Hands-on work building classification models (email classifier with Naive Bayes, heart disease predictor with multiple algorithms), regression models (gym analyzer and fitness helper), and NLP preprocessing pipelines. Continuously expanding skills in data science and model evaluation.
Started with Zapier automations and progressively moved to complex n8n workflows with Code nodes, multi-agent architectures, and advanced API integrations. Built expertise across Shopify, HubSpot, Monday.com, Stripe, Apify, Vapi, Google Sheets, Airtable, and WordPress ecosystems.