Jules Pericles Tamegue: Tech Engineer

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Jules Pericles Tamegue is a distinguished technology and artificial intelligence entrepreneur. Recognized by Marquis Who’s Who Top Engineers for his dedication, achievements, and leadership in technology in healthcare, Mr. Tamegue has made significant strides in advancing AI and machine learning applications in clinical settings. He has a proven track record of activating global ecosystems through high-impact initiatives involving the United Nations and other organizations. Renowned for his powerful drive for collaboration, co-creation, and high-quality results, he was nominated in 2023 to be awarded the President's Gold Medal from President Joe Biden for leadership and support to the community. In 2017, LinkedIn named him a Global Goodwill Ambassador. He co-authored the 2022 Journal of Clinical Medicine study “Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model,” published by MDPI.

In addition to his work in healthcare technology, Mr. Tamegue is the Founder and Managing Director of JT Holdings Group LLC, partnering with clients to pursue excellence through multimedia content, innovative web solutions, and strategic business insights. Notable clients include Howard University, Nixon Peabody, ACD Champs-Élysées Paris France, and Ethnic Women United for Biden and Harris. His entrepreneurial spirit extends to his participation in the Economic Evolution Accelerator Program with the Northern Virginia Black Chamber of Commerce, a program tailored for Black-owned businesses. Mr. Tamegue is committed to community empowerment, serving as the Entrepreneurship Empowerment Coordinator with the Black in Technology Alexandria Chapter and as a mentor in the Converge Mentorship Program. His diverse and extensive educational background includes degrees in computer and information systems, information systems security, political science, and international relations, further enhancing his ability to lead and innovate in a global context.