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  • Последний визит: 2 месяца назад

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$500K+ earned. 188 projects delivered. 100% Job Success Score. 
Most automation freelancers take your brief, build what you described, and hand it off. I work differently. I embed into your operations (your CRM, your content pipeline, your lead flow, your intake process) and find what's actually costing you time and money. Then I build the system that fixes it. 

Not a template. Not a Zapier zap. A production-grade workflow with AI where it matters. 

What this looks like in practice: 

A marketing agency was manually posting content across 6 channels, spending 15+ hours/week on scheduling and reformatting. I built an AI content factory: one input, auto-adapted for each platform, scheduled and published through n8n. They got their week back. 

A construction company was losing 325+ hours/year on manual estimation in Google Sheets. I sat in on their process, built an AI estimation tool inside n8n, and cut it from 20 minutes to under 3. Live in 2 weeks. 

A Medicare insurance brokerage had 1,600+ contacts scattered across spreadsheets with 13 relationship types nobody could track. I built a relational CRM mesh in GoHighLevel. Proof of concept delivered in 1 day. 

What I build: → AI agents: lead qualification, document parsing, smart routing, customer-facing chatbots, voice agents (Vapi) → Workflow automation: n8n, Make, Zapier. Connecting CRMs, marketing platforms, ERPs, and internal tools into one system → CRM buildouts and migrations: GoHighLevel, HubSpot, ClickUp, Pipedrive. Clean data, working automations, zero downtime → AI content systems: multi-channel publishing pipelines, outreach sequences, ad attribution → Zapier/Make → self-hosted n8n migration: 80% cost reduction, unlimited workflows Stack: n8n, Supabase, PostgreSQL, Python, Node.js, Docker, OpenAI API, Claude API, Vapi, HubSpot, GoHighLevel, Pipedrive, Airtable, Google Sheets, LangChain, Slack, Telegram, AWS, DigitalOcean 

How I work: Every project starts with a systems audit. I map your process as it actually runs (not how you think it runs), identify the 2-3 bottlenecks that cost the most, and build a working proof of concept in days. If the PoC proves value, we go to production. Typical deployment: 2-5 weeks. I manage 180+ production workflows on self-hosted infrastructure right now. 

Who I work best with: → Businesses doing $1M+ revenue who need operations to scale without hiring more people → Teams drowning in manual processes across 5+ tools that don't talk to each other → Companies in construction, healthcare, real estate, and marketing agencies. I know these verticals → Clients ready to invest $2,000+ in automation that pays for itself within weeks

 Who I'm NOT a fit for: ✗ One-off tasks under $1000. I build systems, not quick fixes ✗ "Just connect two Zaps" requests. You don't need a senior engineer for that ✗ Projects without a clear business problem. If you can't explain what's broken, we're not ready ✗ Clients who want the cheapest option. My rate reflects 188 production deployments 

Background: Before automation, I ran a web development agency for 10 years. 1,500+ projects delivered, clients included Fortune 500 companies, government agencies, and global nonprofits. Scaled to 25 people, trained 100+ developers. Three years ago I started automating our own processes with n8n. The results changed my direction. 

If your team spends hours on work that follows the same pattern every time, I can automate it. Send me your project details.

Теги

Zapier API Integration artificial intelligence machine learning openai-api Make.com N8N javascript