Gabriel Diaz de Leon

I’m an AI technical lead and computational neuroscientist building production-oriented intelligent systems at the intersection of LLMs, human cognition, and machine learning.My work spans LLM evaluation, RAG pipelines, AI coding quality, human digital twins, biometric modeling, and real-time inference systems. I specialize in translating research into deployable AI products, combining statistical modeling, experimentation, and rapid prototyping with technical leadership across cross-functional teams.During my PhD at UNAM, I researched neural population dynamics and decision-making using probabilistic modeling and dimensionality reduction techniques, contributing to publications in Proceedings of the National Academy of Sciences and Nature Communications.More recently, I’ve led AI initiatives involving cognitive state modeling, athlete performance estimation, and LLM functionality assessment for real-world applications.I’m particularly interested in frontier AI applications that bridge machine learning research with scalable, human-centered products.