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Lily G
@lily_gideon2
AI Automation Engineer n8n Make HubSpot Specialist
Großbritannien
Englisch, Deutsch
Über mich
Looking to scale your business operations, cut manual tasks, and eliminate massive software bills? Welcome! I am a certified Business Automation Architect specializing in building custom workflows and intelligent AI agents.
My expertise centers on n8n automation, Make.com, and Zapier to link your apps seamlessly. I specialize in complete HubSpot CRM implementation, setting up automated pipelines, and designing autonomous n8n AI agents that manage lead enrichment, data synchronization, and support.
Let’s build an agile, self running business infrastructure. Message me to map your workflow
Kompetenzen
Lily G
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
KI-Integrationen
I will do n8n automation n8n workflow ai automation n8n ai agent
KI-Integrationen
I will build n8n automation n8n ai agent zapier or make com work flow automation
Arbeitserfahrung
Lead Automation CRM Systems Engineer
Self Employed • Freiberufler
Jan 2026 - Present • 6 mos
Designed, built, and deployed scalable business automation ecosystems and custom CRM environments for B2B enterprises, digital agencies, and e-commerce brands looking to optimize operations and reduce overhead. Key Achievements & Responsibilities: Engineered custom n8n workflow automations and advanced n8n AI agents to replace costly linear subscription tasks, reducing client platform spend by up to 60%. Headed end-to-end HubSpot CRM implementation, managing complex data migrations, pipeline configurations, custom property mapping, and cross-platform integrations. Built autonomous AI workflows using Make.com, Zapier, and n8n to handle real-time lead generation enrichment, automated follow-ups, and data synchronization. Designed multi-language AI assistants and agentic workflows that seamlessly connect frontend communication channels to backend databases via web hooks and REST APIs. Transformed manual operational bottlenecks into self-running systems, saving clients an average of 15–20 hours of manual labor per week.
