I build AI automation systems that replace manual work and scale
your business — without adding headcount.
n8n ·
10 years in enterprise web application security.
Every system I deliver is reliable, auditable, and built to last.
What I build:
Multi-agent AI workflows
API integrations & internal tools
Business process automation
eCommerce & Shopify automation
AI-powered SaaS tools
Production-ready from day one. Full documentation on every
handoff.
Experience: 5 - 10 years
10 years on cybersecurity specializes as a senior application security analyst — penetration testing, vulnerability management, secure development reviews, and threat modeling. This background carries into every automation I build: least-privilege API access, auditable data flows, and no silent failure points.
Experience: 1 - 2 years
Use Claude to power AI agents within automation workflows — lead scoring, content analysis, sentiment detection, and structured report generation. Built multi-agent systems where specialized Claude agents handle research, analysis, and reporting stages with human approval gates on key decisions.
Experience: 2 - 5 years
Connect APIs across automation platforms — Claude, Groq, rapidAPI, Google APIs, Meta Ads, Shopify, Airtable, Telegram and many more. Handle authentication, async polling, error handling, and structured data transformation between systems.
Experience: 6 months - 1 year
Built Shopify automation for ecommerce operations, including supplier and inventory workflows, product listing automation, and integration with Meta Ads for campaign launches. Part of a multi-agent system where AI agents handle store operations with human approval on key actions.
Experience: 6 months - 1 year
I build automation workflows using n8n and Make.com — connecting tools like Gmail, Airtable, Slack, and Shopify into AI-powered pipelines using Claude. Recent builds include an AI lead qualifier that scores inbound emails and an automated SEO audit system triggered via Slack.
Experience: Less than 6 months
Use Airtable as the central data layer for automation workflows — lead logging with scoring and routing, audit caching, and run logs for error tracking. Structured for clean handoffs between automation steps and human review.
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