M Bilal Manzoor

AI Automation Engineer

HelferTech • ZZP

Jan 2022 - Present • 4 yrs 4 mos

Results-driven AI Automation Engineer specializing in designing and deploying intelligent workflow automation systems. Experienced in building scalable automation architectures using no-code/low-code platforms, integrating CRM systems, managing structured databases, and developing AI-powered business solutions that improve operational efficiency and reduce manual workload. Key Responsibilities Designed and implemented end-to-end automation workflows using platforms such as Make, Zapier, and n8n. Built AI-powered automation systems for lead qualification, email automation, reporting, notifications, data processing, and task management. Developed custom automation logic using JavaScript, APIs, Webhooks, and HTTP modules. Integrated third-party applications including payment gateways, marketing tools, Slack, Google Workspace, and CRM systems. Designed scalable CRM systems for sales pipelines, lead tracking, and customer lifecycle management. Built structured relational databases using Airtable for CRM, project management, HR tracking, and operations dashboards. Created advanced database structures (linked records, rollups, formulas, automations, filtered views). Developed internal company workspaces, SOP systems, and project dashboards using Notion. Automated CRM workflows in systems like HubSpot, Pipedrive, and Salesforce. Built automated lead routing, deal stage updates, follow-up reminders, and sales performance dashboards. Designed API integrations between CRM, databases, and automation platforms. Implemented AI integrations (OpenAI APIs, AI agents, chatbots) for intelligent decision-making and content generation. Created reporting dashboards and analytics systems for tracking KPIs and operational metrics. Optimized business workflows to reduce manual processes by up to 60–80%.