Summary
Alberto Camacho is an AI research scientist with a decade of experience specializing in the intersection of large language models, reinforcement learning, and sequential decision-making. Currently leading and contributing to moonshot projects at X, the moonshot factory, he combines deep academic roots—a PhD in Artificial Intelligence and multiple graduate degrees—with hands-on industry experience from Google, Microsoft, and academic teaching roles. His work spans program synthesis and automated planning, and he has a track record of building conversational and autonomous-agent models during early research internships. Comfortable bridging theory and product, he brings both leadership in research projects and practical implementation skills developed across academia and tech labs. A less obvious strength is his long history of mentoring and teaching—ranging from university TA roles to coaching mathematical talent—which informs his collaborative, explanatory approach to complex AI problems.
10 years of coding experience
2 years of employment as a software developer
Degree in Mathematics, Geometry, Degree in Mathematics, Geometry at Universidad Complutense de Madrid
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at University of Toronto
Degree (Master Level), Mathematics; Telecommunication Engineering, Degree (Master Level), Mathematics; Telecommunication Engineering at CFIS
UPC Universitat Politècnica de Catalunya
Master Thesis, Sensor Networks, Master Thesis, Sensor Networks at École Polytechnique
Master's degree, Intelligent Interactive Systems, Master's degree, Intelligent Interactive Systems at Universitat Pompeu Fabra
Spanish, Catalan, English, French