AI Automation Specialist focused on building reliable automation infrastructure using n8n and Make. I design systems that businesses can depend on daily—automations that continue working even when APIs fail, data changes, or operational complexity grows.
Most automation setups break because they rely on simple triggers and linear workflows. My approach focuses on automation architecture: queue-based task processing, structured state management using data tables, and robust error-handling frameworks. This allows workflows to retry safely, recover from failures, and maintain clean data across systems.
The goal is not just automation—it’s operational reliability at scale.
Automation Systems I Build
• End-to-end workflow automation using n8n and Make
• CRM and SaaS integrations (Google Workspace, HubSpot, Slack, APIs)
• Lead intake, enrichment, routing, and tracking systems
• Queue-driven automations that handle high-volume tasks safely
• AI-powered workflows using OpenAI and data enrichment tools
• Data synchronization pipelines between multiple platforms
• Monitoring systems that track failures and trigger recovery flows
Technical Strengths
• Workflow architecture and process mapping
• Webhooks, APIs, and structured data flow
• Conditional logic, branching, and iteration
• Error handling and failure-state recovery
• Automation logging, monitoring, and system visibility
Results I Focus On
• Reduce manual operational workload
• Improve data accuracy across systems
• Prevent workflow failures and silent data loss
• Build automation systems that scale as operations grow
With a background in Information Technology and customer-facing technical support, I understand both the technical side of automation and the operational realities of businesses. I design systems that are not only powerful, but also maintainable and easy for teams to use.
If your business is running on fragile automations or too many manual processes, I can help turn those workflows into structured, reliable automation systems.
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