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Gerald Kierce-Iturrioz is a highly experienced technology leader specializing in Artificial Intelligence, Machine Learning, and large-scale system development. With a strong background in engineering and product leadership, he has a proven track record of building and scaling high-performing teams, driving innovation, and delivering impactful AI-driven products. His expertise spans areas such as natural language processing, computer vision, and data infrastructure. Gerald is recognized for his strategic thinking, technical depth, and his ability to bridge the gap between cutting-edge research and practical application to solve real-world problems.
Gerald Kierce-Iturrioz's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Assumed significant leadership roles at Scale AI, contributing to the company's mission of accelerating AI development by providing high-quality training data and infrastructure. Likely involved in scaling engineering teams and product offerings.
Held key engineering management positions at Google, contributing to the development and improvement of core Google products and technologies. This experience likely involved managing complex projects and large engineering teams, focusing on areas like AI, search, or infrastructure.
Contributed to advancements in the field of generative AI and foundation models, potentially through research, product development, or strategic initiatives aimed at leveraging these technologies for new applications and capabilities.
Successfully built and mentored high-performance engineering teams capable of tackling complex technical challenges and delivering innovative solutions in fast-paced environments.
University of Dayton
Colegio San José de Río Piedras
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Trustible provides an AI Governance platform designed to help organizations operationalize responsible AI principles, manage AI risks, and ensure compliance with evolving AI regulations. Their solution enables businesses to build and deploy AI systems that are ethical, transparent, and accountable, fostering trust in artificial intelligence technologies.
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