Al

About

I build the automation and data systems that revenue teams run on. I engineered a Node.js and Python pipeline that scraped, deduplicated, enriched, and validated business records from Google Maps, the Facebook Ads Library, and a REST API, screening 2,297 raw listings into 441 verified, contactable accounts. I designed the deduplication keys and validation gates behind it, enforcing a full source-to-disposition audit trail across the 2,297-row screening log and removing 59 duplicate records before any outreach went out. On the outbound side, I launched a 3-touch email sequence with 4 A/B tested variants and per-record personalized openers generated from that dataset, reaching 191 prospects with no per-record copy written by hand. On the paid side, I ran targeted Facebook Ads campaigns that moved conversion rates from 3 percent to 11 percent and converted 2 property sales. The technical depth behind that: a 65-node n8n AI agent that manages customer conversations across Facebook Messenger, WhatsApp, and website chat and autonomously books, reschedules, and cancels Google Calendar appointments, validated across 105 end-to-end test executions with zero failures at $0.04 per conversa

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