Summary
Ariel Gamiño is a Senior Solution AI Engineer with nine years of experience designing and productionizing LLM-powered applications, agentic workflows, and generative AI solutions that improve decision-making and operational efficiency. He blends hands-on engineering—prototyping models, building secure cloud-native architectures, and delivering demos/PoCs—with strategic engagement as a trusted advisor to enterprise stakeholders. Ariel has led AI programs across industries from healthcare to energy, embedding domain knowledge into agentic systems and knowledge-graph–driven pipelines. He also teaches university-affiliated data analytics and AI bootcamps, is a Manning Publications author on recommender systems, and regularly presents on applied and responsible AI. Fluent in English and Spanish and president of the Harvard Extension Alumni Association, he pairs technical depth (Harvard, Northwestern, UT Austin) with community-focused leadership. An uncommon strength is his track record of translating experimental LLM research into governance-minded, operationally reliable products in regulated environments.
9 years of coding experience
26 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at The University of Texas at Austin
Masters Software Engineering, Masters Software Engineering at Harvard University
Master of Science Predictive Analytics (Data Science), Master of Science Predictive Analytics (Data Science) at Northwestern University
MIT Professional Education
English, Spanish