Top 1% AI Voice and Automation Architect. 15+ large automation systems, 30+ multilingual Voice AI Agents over last 3 years across multiple industries.
I automate small businesses that rely heavy on conversational AI - Voice AI agents, SMS, emails, chatbots. Keeping everything together in CRM with clean reports.
My clients come usually from home services, car rentals, real estate and similar business - they have solid business, good reviews but stuck in operations.
My approach:
- Architecture first. With AI, executing the actual automation is much easier now. The hard part is designing the system right from the start - that’s why I focus a lot on understanding your business and plan priorities with you.
- Weekly deployments. I structure the project into weekly iterations so you get value as soon as possible and we get users feedback.
- AI-native documentation. Everything I build is documented in a format your own AI assistant (Claude or ChatGPT) can read. I connect it directly to your assistant so your team can just ask it.
Voice Agents for inbound and outbound systems. I build reliable, production ready agents:
- Low latency, high accuracy
- Highly personalized calls - pull data from your CRM/DB before call
- Multilingual (English, Spanish, French, Arabic)
- Multiple industries (Home Services, Automotive, Recruiting, Healthcare)
- Connected to ecosystem(CRMs, Calendars, PBX/VOIP systems/SIP)
- Qualifications, Objection Handling, Appointments, Call Transfers, SMS
The stack I work with:
- WebRTC/Pipecat/Livekit/Ultravox for complex agents
- Retell, Elevenlabs, VAPI for simple agents
- n8n, make, zapier for automations
- MCP servers to connect system with Claude/GPT assistants
- Claude Code for rapid development in Python and JS
- Twilio, Telnyx, custom SIP trunks
- GoHighLevel, Hubspot, Zoho, Pipedrive
- Clay, Apollo, Instantly, Smartlead
- Supabase, Airtable, Clickup
I'm bringing my 14 years software engineer, devops, tech lead experience to build Voice agents in a proven, agile and modern approach:
- Evaluations driven development. Building Voice Agents based on datasets of multiple scenarios on how real conversations might go(qualifications, obj. handling, appointments, etc)