Fernando Torres

My work centers on the architecture of agentic workflows, long‑lived AI systems, and the data foundations required to make them reliable in real‑world environments. At Stanford’s MSx program, I am conducting research on how autonomous AI agents coordinate, manage memory, and operate across complex enterprise workflows. This research directly informs the development of Memori.

Before Stanford, I spent several years in the pharmaceutical industry, ultimately becoming the youngest director at Chinoin, a 2,000‑employee company operating across Mexico, the U.S., and Latin America. I led major licensing negotiations, established scalable business development processes, and drove cross‑country operational improvements in supply chain and market execution.

My background also includes hands‑on software engineering, ML experimentation, and building early products. I began coding before the age of 10 and have since created projects ranging from AI systems for medical imaging (lung nodule detection using CNN ensembles) to platform prototypes for wellness and therapy.

Today, I’m focused on building Memori: a secure, user‑centric context platform that structures and retrieves personal and enterprise data for AI systems. I believe AI adoption will be defined not only by better models but by better context, and Memori aims to solve that foundational challenge.