AI and Data Innovator & Storyteller

Dr. Iyanu Odebode is a leading AI, machine learning, and data science expert and innovator, specializing in building secure, scalable, and enterprise-grade machine learning solutions across multiple industries, including government, finance, healthcare, cybersecurity, entertainment, and technology. Iyanu connects the pain points AI technology can solve through storytelling and analogies to get to the root of the need.

Government Innovation & Digital Transformation Leader

Iyanu led the Digital Innovations Factory at the U.S. Department of Homeland Security, where he introduced AI—including natural language processing, drones, computer vision, and pre-GPT AI—across critical federal initiatives. He also played a pivotal role in modernizing the Internal Revenue Service (IRS) by digitizing paper-based systems, integrating payment platforms, and driving large-scale digital transformation.

Scalable AI Solutions, Security & Operational Excellence

With a doctorate degree in Artificial Intelligence, Iyanu has deep expertise in cloud infrastructure, he architects high-performance systems that optimize productivity, reduce costs, and align with strategic business objectives. His proficiency in Amazon Web Services (AWS) and Google Cloud Platform (GCP) ensures secure, scalable, and efficient AI adoption.

Iyanu excels in deploying automated Continuous Integration/Continuous Delivery (CI/CD) pipelines, containerization, monitoring, and configuration management, enabling organizations to streamline AI deployment and maintain security at scale.

Industry Leader & Knowledge-Sharing Advocate

A published author and TEDx speaker, Iyanu is dedicated to educating and empowering AI professionals. He has helped build a thriving 50,000+ member AI community and is on a mission to equip one million data scientists to create transformative AI applications.

Strategic AI Leadership at CybrCastle

As Chief AI & Data Architect Advisor at CybrCastle, Iyanu provides strategic guidance on AI architecture, data strategy, and implementation, helping organizations future-proof their AI initiatives with secure, scalable, and responsible AI adoption.