Hello, I'm
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I drive AI adoption by building practical automations, integrating software ecosystems, and training cross-functional teams to scale efficiency and reduce workflow errors.
I specialize in AI Adoption and Operations with a B.S. in Business Analysis from Utah Valley University. At Domo, I bridge the gap between emerging AI tools (Google Gemini) and day-to-day team enablement—building practical automations and training sales operations teams to confidently use new software ecosystems.
My technical depth in CRM optimization (Salesforce, HubSpot, Zapier) combined with strategic GTM experience across BDR, digital integrations, and sales ops roles allows me to bridge the gap between product and revenue. I speak fluent Spanish and bring a global perspective to everything I build.
My career journey scaling systems and optimizing revenue operations—step by measurable step.
Domo · Utah
Engineering Domo's AI Outbound Engine and Sales Enablement Messaging System—automating persona-specific battlecards and video training for 36 buyer segments.
Bateman Collective · Lehi, Utah
Translated technical requirements into robust marketing strategies, resulting in dynamic lead generation ecosystems and highly-optimized CRM workflows across Zapier and ClickUp.
UVU, ProStar, Volunteer Rep
Built the bedrock of my analytical skills—leading an LLM-chatbot build (CS-339R), engineering compliance tools that drastically reduced errors, and training 100+ leaders in Argentina.
Architected a programmatic messaging engine for Domo's revenue team. Automatically generates 50+ slide persona-specific training decks and synchronized audio-visual recap videos using Python and Remotion.
A fully custom Figma plugin that generates on-brand social media banners across all platform sizes. Connects with Google Gemini to generate images and keeps all design components consistent via code-connected components.
An intelligent outbound marketing engine targeting Ideal Customer Profiles (ICPs) at the contact level. Helped engineer a dynamic context center and utilized lead-scoring workflows to route prospects into autonomous AI sequences. The system dynamically generates highly personalized emails based on brand knowledge and tracks intent signals to automatically hand off to human representatives. Currently in beta testing; performance metrics upcoming.
Building autonomous agents that handle process automation, lead research, and real-time execution.
Translating business bottlenecks into technical solutions that drive measurable pipeline and ROI.
Translating complex data structures into actionable GTM insights using advanced statistical modeling and BI orchestration.
A comprehensive operational dashboard tracking agent efficiency, CSAT trends, and peak volume hours. Built originally in Excel using complex pivot logic and dynamic named ranges to simulate a live database environment.
An Ann Arbor real estate model using multiple linear regression to predict rental premiums. Analyzed feature correlations and residuals to achieve a robust R² value, demonstrating the bridge between raw stats and market pricing strategy.
Currently exploring new opportunities in technical marketing, product management, and go-to-market engineering. Let's connect.