Who I Am
I design and deploy AI agents that handle real business interactions across voice, chat, and email. One production voice agent alone manages 1,200+ monthly calls at a 90% success rate: identifying callers, classifying incidents, guiding troubleshooting, flagging emergencies, and opening support tickets automatically. Another set of email agents processed 2,860+ messages in their first month.
The network engineering foundation is what makes the AI work stick. CCNA-certified with five years deploying Cisco Meraki, Webex Calling, and enterprise VoIP infrastructure, I build on a layer most AI engineers don't have.
I work across both worlds deliberately. I can debug SIP signaling one day and tune a RAG pipeline the next. Electronics Engineering from Simón Bolívar University, fluent in English and Spanish.
CCNA Certified
Cisco
B.Sc. Electronics Eng.
USB, Venezuela
AI Automation
LLMs · n8n · Retell
5+ Years Exp.
Networking & AI
Languages
English · Spanish · German
Career Evolution
Electronics Eng.
2017–2024
Networking
2022–2025
AI Automation
2025–Now
Technical Expertise
AI & Automation
Networking
Programming
VoIP & Telephony
Work History
AI & Network Automation Engineer
IPFone · Remote
- ▸Designed and maintain a production voice AI agent as the primary technical support contact, handling 1,200+ monthly calls with a 90.2% success rate and 97% neutral/positive caller sentiment; built on multi-flow conversational logic with CRM and ticketing caller identification, dual-path handling for new tickets and existing cases, technician availability awareness, and incident-specific troubleshooting.
- ▸Delivered 10+ production AI receptionist agents for a diverse roster of business clients, built on multi-agent architectures with 5–10+ tool integrations per agent spanning CRM lookup, ticket creation, call transfer, technician routing and calendar booking via REST APIs; one healthcare deployment processed 4,958 calls in its first month with an 87.6% success rate and a 39-second average duration.
- ▸Built additional agents beyond inbound voice: email outreach agents leveraging integrated CRM data, and Cisco Webex chat bots piping monitoring alerts and operational notifications to engineering teams via n8n workflows, extending coverage into multi-channel engagement and internal observability.
VoIP & Network Engineer (Level 2)
IPFone · Remote
- ▸Served as Level 2 escalation point for VoIP technical issues across enterprise platforms including BroadSoft, BICOM, Cisco Webex Calling, Microsoft Teams Phone, and legacy POTS, supporting US-based business clients in a fully English-speaking environment under SLA.
- ▸Diagnosed and resolved complex telephony issues across multiple PBX platforms and phone vendors (Polycom, Yealink, Grandstream), troubleshooting SIP, RTP, codec, and call-quality problems. Also acted as primary contact for client-side internet circuit incidents, coordinating with upstream ISPs and managing technician dispatch lifecycles.
Implementation & Support Engineer
SOUTEC · Caracas, Venezuela
- ▸Led end-to-end network deployments for enterprise clients across Cisco Meraki, Fortinet, MikroTik and Ubiquiti in commercial and industrial sites, providing 24/7 on-call support and escalation handling under strict SLA.
- ▸Developed the Meraki Deployment Automator, a Python/Flask web app on the Cisco Meraki Dashboard API for bulk network provisioning, cutting firewall rule deployment time from 1.5–2.5 hours of manual work to under two minutes (~98% effort reduction); deployed in production at three enterprise client sites.
- ▸Conducted Ekahau wireless site surveys across six enterprise environments, including Venezuela's main international airport (high-density, mission-critical, multi-AP coordination); also configured a site-to-site IPsec VPN between Cisco Meraki MX appliances and AWS for hybrid-cloud connectivity at a retail enterprise client.
What I've Built
Meraki Deployment Automator
Python/Flask web app on the Cisco Meraki Dashboard API for bulk network provisioning, cutting firewall rule deployment time from 1.5 to 2.5 hours of manual work down to under two minutes (roughly 98% reduction). Deployed in production at three enterprise client sites.
AI Receptionist
Portfolio of production voice AI agents built on Retell AI with multi-agent architecture (receptionist + ticket-classification agent). Features dual-path handling for new and existing tickets, CRM/ticketing API integrations, technician routing, and incident-specific troubleshooting trees. One healthcare deployment processed 4,958 calls in its first month with an 87.6% success rate.
AI Email Engagement System
Two autonomous outbound email agents deployed in production: one for client outreach and one for partner communications, acting as a branded AI contact channel. Sent 2,860+ emails in the first 30 days, generating 156 replies handled autonomously and 36 successful closings. Built on n8n with Microsoft Azure for email management; the AI layer uses Anthropic Claude with OpenAI as fallback for classification, response generation, and escalation routing across 5+ internal departments with human-in-the-loop handoff. Includes security guardrails, a knowledge base, and a custom monitoring dashboard. Developed using Claude Code with the n8n MCP integration.
AI Agent Monitoring Dashboards
Two production monitoring dashboards built to track real-time performance of deployed AI agents: one for the voice support agent and one for the email engagement agents. Born from recurring stakeholder requests about results, each dashboard surfaces the metrics that matter (call volume, success rates, reply rates, escalations, closings) and can generate email reports filtered by custom date ranges, sent on demand.
Cisco Webex Engineering Alert Bot
Cisco Webex chatbot that pipes real-time monitoring alerts and operational notifications directly to engineering team channels via n8n workflows. Keeps the on-call team informed of infrastructure events without leaving their communication platform, extending observability coverage into the team's existing workflow.
Try the AI
Live voice and chat agents built with the same stack I use in production
Get In Touch
Open to full-time and contract roles in AI automation and networking. Based in Venezuela, available for remote positions worldwide or relocation.