About Me

AI Ph.D. Researcher (6+ years of research experience) with expertise in Deep Learning and Neuro-Symbolic AI. My main research interests are in constraint learning, interpretability, and causality. I have a strong background in deep learning architectures: design, training and optimization. My current work has been in developing and implementing multi-agentic systems that use multi-modal large language models.

Education

• Ph.D in Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research and Knowledge Management (2019-2024)
  University of Edinburgh, Edinburgh, Scotland
  Thesis: Neural architectures for logic constraints
• Bachelors in Computer Engineering (2014-2018)
  Faculty of Engineering UNAM, Mexico City, Mexico
  Specialization in Artificial Intelligence and Databases.
• AI Specialization (2017)
  Sungkyungkwan University, Suwon, South Korea
  Coursework: Artificial Intelligence and Computer Security

Experience

• Lead AI Research Scientist & Engineer (present)
  CacaoAI, Mexico City, Mexico
  My own AI company; more of an organization where I published my research and trained models with true free and open-source licenses for the good of the people and the research community.
• Lead AI Research Scientist & Engineer (2024-present)
  Sucroliq, Mexico City, Mexico
  Developed and implemented a multi-modal and multi-agentic AI system to streamline access to company data.
• AI Research Scientist & Engineer (2022-2024)
  Cohesive Solutions, Mexico City, Mexico
  Designed and deployed AI-powered systems for various applications.
• Ph.D. Research (2019-2024)
  University of Edinburgh, Edinburgh, Scotland
  Research focused on developing efficient and interpretable machine learning models.
• Computer Vision & Data Science Researcher (2018-2019)
  Faculty of Medicine UNAM, Mexico City, Mexico
  Developed a screening test system that used a mixture of multi-class classifiers using computer vision and deep learning.