Summary
Alejandro Queiruga is an applied mathematician and ML engineer with 12 years of experience building production AI systems and research-grade models, currently a Member of Technical Staff at OpenAI after leading AI-powered ad and retrieval efforts at Google. He holds a PhD in Mechanical Engineering from UC Berkeley and has blended lab-scale research at Berkeley Lab with large-scale engineering at Google, bringing rigorous scientific methodology to product-focused ML engineering. Alejandro’s work spans model optimization, retrieval and monetization of LLM experiences, and energy‑geosciences research—an uncommon mix that helps him bridge theory, experiment, and deployment. Based in the San Francisco Bay Area, he maintains an active research and code presence via his personal site and GitHub, signaling a continual commitment to open scholarship alongside production impact.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at University of California, Berkeley
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Carnegie Mellon University