AI Automation Engineer

I build AI automation systems for clients in the US, UK, and UAE. I delivered an AI lead-reactivation engine that analyzed more than 10,000 dormant CRM contacts, used GoHighLevel webhooks and OpenAI for personalized SMS and email sequences, increased appointment booking by 30%, and reactivated $45K in pipeline value.

I architected a 300+ node Lindy.ai legal-tech agent for email triage, document classification, and bidirectional CRM synchronization. The system processed more than 5,000 monthly operations at 92% accuracy, used human review for low-confidence cases, reduced manual data entry by 50%, and saved over 120 hours monthly.

I also built Retell AI and Vapi voice agents, an n8n RAG support assistant that achieved an 85% no-touch resolution rate, ClickUp workflow transformations, and Make plus Airtable diagnostics that resolved duplicate-record and reporting issues.

I served as the sole engineer for ScaleHouse's lead-generation AI SaaS product. I built a Playwright and Node.js Apify actor alongside a 2,500-line WordPress and PHP renderer that automatically scanned Danish e-commerce websites for tracking and GDPR compliance, delivering eight actor versions and 15 releases.

I developed a multi-platform detection engine using runtime instrumentation, network signatures, HTML analysis, and Google Tag Manager container analysis. It detected tracking across 11 advertising platforms and more than 14 server-side vendors.

I integrated GPT-4o Vision for product-page discovery, extraction, and classification across major e-commerce platforms. I also engineered consent analysis, Consent Mode v2 verification, Apple ITP flagging, cached runs, email delivery, and automated ClickUp lead capture.

I architected enterprise n8n workflow systems connecting Google Sheets, Slack, HubSpot, and internal databases. These solutions eliminated 40% of manual reporting overhead and reclaimed more than 25 hours per week for a sales-operations team across three departments.

I built a Microsoft Power Automate attendance-management system triggered by Microsoft Teams check-in and check-out messages, with personalized confirmations, spreadsheet logging, and departmental routing. I also created a customer-feedback pipeline using Typeform, Zapier, and OpenAI that generated Slack crisis alerts in under five minutes.

I improved workflow resilience with exponential backoff, structured error handling, logging, and monitoring, raising uptime from 78% to 96%. I also consolidated onboarding, support triage, analytics, and billing into an n8n, OpenAI, and MCP AI operations hub.

I accelerated an expert-recruitment pipeline by 25% through Airtable and Zapier automation. I also built a LinkedIn-scraping workflow that processed more than 500 profiles weekly and supported automated outreach sequencing.

I led and coordinated a five-person team implementing Oracle-to-Slack reporting through Make.com webhooks. I delegated implementation tasks and trained team members on SQL, Zapier, and Airtable practices.

The team reduced reporting error rates from 15% to under 3% through improved automation design, data handling, and workflow processes.

GPA: 3.81/4.0. Graduated in the top 5% of the cohort. Served as President of the Society of Computing & Technology and organized four technology events with over 100 participants.