I'm an Electronics Engineer from Simón Bolívar University with over 4 years of hands-on experience bridging enterprise networking and cutting-edge AI automation. My career started deep in network infrastructure — CCNA-certified, deploying Cisco Meraki, Fortinet, and VoIP systems for enterprise clients across Venezuela and the US.
As AI transformed the industry, I pivoted toward what excited me most: building intelligent, automated systems. Today I design conversational AI agents, integrate LLMs into business workflows using Vapi and n8n, and automate network operations with Python and the Meraki API — all at IPFone, a leading US cloud communications provider.
What sets me apart is the intersection: I understand both the technical depth of enterprise networks and the practical applications of AI. I can talk protocols with a network engineer and tokens with an AI researcher — and build products that bridge both worlds.
CCNA Certified
Cisco
B.Sc. Electronics Eng.
USB, Venezuela
AI Automation
LLMs · n8n · Vapi
4+ Years Exp.
Networking & AI
Electronics Eng.
2017–2024
Networking
2022–2025
AI Automation
2025–Now
IPFone · Remote
IPFone · Remote
SOUTEC · Caracas, Venezuela
A Python/Flask web application that automates bulk Cisco Meraki network provisioning via the Meraki Dashboard API. Supports templated configurations for MX security appliances, MS switches, and MR access points — reducing deployment time from hours to minutes.
Conversational AI voice agent for enterprise customer support, built on Vapi for voice I/O, n8n for workflow orchestration, and a fine-tuned LLM backend. Handles appointment scheduling, FAQ resolution, and escalation routing autonomously.
A real-time network monitoring dashboard aggregating data from PRTG and Meraki APIs into a unified React interface. Provides alerting, device health scoring, and historical trend analysis for multi-site enterprise networks.
n8n workflow automation that monitors BroadSoft platform health, automatically creates and routes support tickets on anomaly detection, and sends contextual alerts with diagnostic data to the on-call engineer via Slack and email.
A practical guide to architecting production-ready voice AI agents that handle real customer interactions — from LLM selection to telephony integration and workflow automation.
How I reduced multi-site Meraki network provisioning from 4 hours to under 10 minutes using Python, the Meraki Dashboard API, and configuration templates.
A systematic methodology for diagnosing VoIP call quality issues — from one-way audio and choppy calls to registration failures — covering SIP, RTP, QoS, and network layer root causes.
Open to senior AI automation and networking roles, consulting engagements, and interesting side projects. Based remotely — available worldwide.