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Zeydy Ortiz is a distinguished Staff Research Scientist and Tech Lead Manager at Google, focusing on Responsible AI, particularly within Large Language Models (LLMs) and Generative AI. Her work is centered on developing and implementing robust strategies to ensure fairness, accountability, transparency, and safety in AI systems. Dr. Ortiz is deeply involved in research that addresses biases in AI, enhances model interpretability, and promotes ethical AI development practices. She obtained her Ph.D. in Computer Science from the University of Central Florida, where her dissertation focused on topics relevant to machine learning and data mining. At Google, she leads teams and initiatives aimed at embedding responsible AI principles into the lifecycle of AI products, contributing significantly to the company's efforts to build trustworthy AI that benefits society.
Zeydy Ortiz, Ph. D.'s work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads significant research and engineering efforts at Google to integrate fairness, transparency, ethics, and safety considerations directly into the development and deployment of Large Language Models and Generative AI products, shaping Google's approach to responsible innovation.
Contributed to key research and practical applications for identifying and mitigating biases in machine learning models, especially in natural language processing, leading to more equitable AI systems. Her work often involves developing novel metrics and techniques for fairness.
Instrumental in the creation and promotion of frameworks, guidelines, and tools that assist developers in building and evaluating AI systems for trustworthiness, ensuring that ethical considerations are a core part of the AI development pipeline.
Authored and co-authored impactful research papers in top-tier AI conferences and journals, and actively participates in the AI community through talks, workshops, and mentorship, fostering a broader understanding and adoption of responsible AI principles.
North Carolina State University
Texas A&M University
Universidad de Puerto Rico - Recinto Universitario de Mayaguez
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DataCrunch Lab is an AI and Machine Learning consulting company based in Austin, Texas. They specialize in helping businesses leverage data science, computer vision, Natural Language Processing (NLP), and predictive analytics to solve complex challenges and drive innovation. Their services include AI strategy development, custom model building, MLOps, and AI-powered application development, catering to various industries seeking to integrate artificial intelligence into their operations.
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