AI Automation Specialist | Make · Zapier · n8n · GoHighLevel
Rizal
I'm an AI Automation Specialist focused on workflow automation, CRM integration, and AI-powered business systems built on Make, Zapier, n8n, and GoHighLevel that are connected to the tools businesses already run on. What I build: ✅ CRM automation & AI lead qualification: scored, auto-routed, zero manual data entry ✅ Lead capture, routing & follow-up automation that responds in seconds, not hours ✅ AI voice agents that answer inbound calls and logs every interaction to the CRM with no human involved ✅ Client & employee onboarding workflows: documents, tasks, and notifications triggered automatically ✅ Intelligent document processing: invoices, resumes, and contracts parsed, classified, and filed correctly ✅ Cross-platform API integrations that connect your tools into one workflow If your team is still manually routing leads or re-typing data between systems that's exactly the kind of process I build systems around.
Freelance, freelance
Feb 2026 to Present
‣ Designed and built 10+ production-grade automation systems spanning lead qualification, CRM automation, employee onboarding, AI-powered customer support, AI voice agents, resume screening, invoicing, and document classification. ‣ Integrated AI models (OpenAI GPT-4, Groq/Llama) into automated workflows to handle lead scoring, resume evaluation, ticket matching, and content generation — replacing manual review steps with structured AI decision logic. ‣ Developed AI voice agents using Vapi to handle inbound calls, answer caller queries, and log interactions directly into the CRM without human intervention. ‣ Built multi-branch routing logic to direct records down different automated paths based on AI-generated scores, department, or priority level. ‣ Connected CRMs (HubSpot, Zoho, GoHighLevel, Pipedrive, Salesforce) and business tools (Google Workspace, Slack, Asana, Xero, Airtable, Calendly, etc.) into unified workflows, eliminating manual data entry between systems. ‣ Implemented duplicate-detection, error-handling, and human-review checkpoints to ensure automations are production-safe rather than "demo-only."