Dallas-Fort Worth Metroplex
I don't fit neatly into one lane — and I never wanted to. Understanding how something works — whether it's a technical system, a business process, or a room full of people — is what separates good from great. Most people work to solve symptoms. I dig deeper — cutting through the noise to find what's actually causing the friction. When you solve the root cause, the symptoms take care of themselves. I'm an AI & Automation Architect currently building at Tipalti, an enterprise fintech company — designing and deploying enterprise AI systems, intelligent automation pipelines, and cross-platform integrations that eliminate manual overhead at scale. My stack: Claude, OpenAI, Gemini, Glean, Workato, UiPath, Zendesk, Salesforce, JIRA, and Snowflake. Some of what I've shipped: ▸ Traveled to Tel Aviv to architect and deploy a live 24/7 AI support agent — cutting customer response time from 30–60 minutes to under 2 minutes, running around the clock across global time zones. ▸ Built an AI-powered Configuration Wizard for the Implementation/Onboarding team — eliminating complex decision matrices, reducing misconfigurations, and cutting new hire ramp time. ▸ Traveled to Medellín, Colombia to build and deliver an onboarding enablement program that cut ramp time from 6 months to 30 days — 100% employee retention of that cohort, one year later. ▸ Reduced unnecessary Engineering escalations from 25–30% to 10–15% through automated alerting, governance frameworks, and PowerBI dashboards. What makes me effective isn't just that I can build the thing. It's that I can sit with engineers and talk architecture, walk into an executive presentation and make it land, jump on a customer call and translate complexity into clarity, and come back and enable the teams who have to live with the outcome every day. That full loop — from problem identification to execution to adoption — is where I operate. I believe the most valuable skill in the AI era isn't writing code — it's knowing what to build, why it matters, and how to get an entire organization to adopt it.
Promoted to Sr. AI Automation Manager in June 2026 — continuing to lead AI-first transformation across global Operations with expanded scope and on-site delivery. Most recently traveled to Tel Aviv to collaborate with Data, AI, Product, and Support teams to architect, build, and deploy a 24/7 AI Support Agent — built on AWS Bedrock Agent Core and integrated via Workato automation — cutting customer response time from 30–60 minutes down to 2 minutes, running around the clock and eliminating coverage gaps across U.S. and international time zones. Also built an AI agent that bridges Customer Onboarding and Global Support — synthesizing each customer's full journey from purchase through Implementation into a structured intelligence brief delivered to the Support team, so every customer transitions to Support with full context already in place. Continuing to drive: AI agent stack (Claude, OpenAI, Gemini, Glean), Workato cross-system automation, and technical AI SOPs built to support both human teams and AI retrieval.
Tapped to lead high-impact strategic initiatives across Operations — championing an AI-First Mindset across Onboarding, Payment Operations, KYC, Compliance, Support, Enablement, and Customer Success. Lead AI-first strategic initiatives partnering with Product, Engineering, Sales, and Marketing on enterprise feature rollouts and large-scale transformation programs. Design and deploy AI agents and automation pipelines (OpenAI, Glean, Gemini, Claude, Workato, UiPath) to automate risk assessment, routing logic, and intelligent ticket triage. Built AI-powered Configuration Wizard — reducing misconfigurations and accelerating new hire ramp time. Spearheaded NIR initiative cutting unnecessary Engineering escalations from 25–30% to 10–15%. Reduced international onboarding ramp from 6 months to under 30 days. Partner with Product and Engineering on Tier 1 and Tier 2 feature rollouts ensuring full operational readiness. Author technical documentation built for both human and AI consumption.
Managed on average 20–25 concurrent client implementations end-to-end, driving revenue activation and successful product adoption. Maintained highest CSAT on the Onboarding team at 98% while serving as the technical escalation resource for the broader Implementation team.
Started as Technical Support Specialist in an MSP environment supporting 30+ clients and 15K+ endpoints across the U.S. Rapidly selected over 35 technicians to become Technical Support Lead — engineered a PowerShell automation that drove SLA compliance from 80% to 97% within a single month.