Summary
Ernesto Laval is a senior GenAI and data strategy advisor with 13 years of experience turning hypotheses into production analytics and AI products for Fortune 500 clients and public-good initiatives in Chile. He combines hands-on prototyping (LangChain, n8n, Azure, AWS) with product and UX leadership to create trustworthy GenAI experiences—RAG, agentic assistants, NL search—with source citations, confidence cues and safety guardrails. A bridge between business, engineering and design, he runs time-boxed discovery sprints that validate value quickly and embed reusable insight experiences rather than one-off reports. His background spans education, public policy and large-scale consumer analytics (productionizing usage analytics for hundreds of millions of users), giving him a rare mix of domain empathy and technical delivery. Open to senior product/AI roles or project-based external advisory, he favors purpose-driven teams where data becomes products and measurable change.
13 years of coding experience
11 years of employment as a software developer
Ingeniero Civil de Industrias con mención en Computación, Informática Educativa, Ingeniero Civil de Industrias con mención en Computación, Informática Educativa at Pontificia Universidad Católica de Chile
PhD, Education, PhD, Education at University of Bristol