Dr. Kenneth Perry

Dr. Kenneth R. Perry is an accomplished inventor and educator with a Ph.D. in Electrical Engineering from Stanford University. He is a co-inventor of the Pulse Oximeter and inventor of the Adaptive Echo Canceller for modems, significantly advancing communication technology. Dr. Perry has also designed circuits for NASA, Motorola, and the military, and served as a Computer Science Department chair.

Dr. David Jackson, Administration/District Liaison

David A. Jackson, Ed.D., is a highly accomplished educational leader with a diverse background in administration, teaching, and research. With a Doctor of Education in Cooperative Superintendency from The University of Texas at Austin, Jackson has dedicated his career to promoting high academic and moral standards. He has served as a Principal, Assistant Principal, and Virtual School Consultant in Houston ISD, earning numerous accolades for his leadership and commitment to student success.

Mr. Woodrow Wilson, III

Woodrow Wilson is the Chief Operations Officer (COO) of Clearlight Code Academy (CCA), a software development and design firm specializing in no-code computer application development. He is responsible for overseeing and optimizing the day-to-day business operations of the company.
Prior to CCA, Woody spent 30 years in Information Technology with Lockheed Martin Corp (LM), with his final role as Senior Manager for the Aeronautics IT Applications organization. Woody graduated from the U.S. Naval Academy with a Bachelor of Science degree in Operations Research and holds a Master of Science degree in Systems Engineering from George Mason University.

Mr. Zaire Ali, Chief Engineer

Experienced Cloud Infrastructure and MLOps Engineer with 6 years of experience. Proficient in Terraform, Python, Kubernetes, and Docker, engineered machine learning solutions to optimize processing of large datasets. Successfully developed and implemented scalable, secure systems on AWS, improving deployment efficiency, data compliance, and achieving significant performance enhancements in machine learning workflows.