Summary
Jason Mcinerney is a Principal AI Data Scientist with 11 years of experience building and scaling AI-first products and platforms across healthcare, advertising, fintech, and startups. He combines hands-on expertise in LLMs, RAG, multi-agent systems, CV, and large-scale vector/metadata architectures with a track record of founding and leading companies that secured venture funding and generated recurring revenue. At organizations from Snowflake and ResMed to his own startups, he has driven enterprise AI transformations, launched regulated healthcare AI products, and productionized foundational models and explainability tooling. He is equally comfortable prototyping rapid GenAI features and architecting long-lived, compliant ML platforms that include monitoring, V&V, and feature stores. Notably, his background in computational neuroscience informs signal-processing and time-series approaches underpinning several clinical and CV products. Based in California, he mentors teams to exceed business objectives while evangelizing pragmatic, creative uses of AI.
11 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD work Machine Learning, Doctor of Philosophy - PhD work Machine Learning at Iowa State University
University of California, San Diego
B. Sci. Biology, B. Sci. Biology at University of North Texas