Karriem P.
Artificial Intelligence, and Quantum Computing - Dissertation Chair @Capitol Technology University
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WORK HISTORY
Artificial Intelligence, and Quantum Computing - Dissertation Chair @Capitol Technology University
Laurel, MD, US
Advise doctoral students / candidates throughout the dissertation research process.
EDUCATION
Western Governors University
Software Engineering, AI Engineering
Southern New Hampshire University
Master of Science (M.S.), Data Analytics
Capitol Technology University
Doctor of Philosophy - (Ph.D.), Quantum Computing
Ottawa University
Bachelor of Arts - (B.A.), Psychology
Capitol Technology University
Doctor of Philosophy (Ph.D.), Artificial Intelligence
ABOUT KARRIEM P.
THE MORE I LEARN, THE MORE I REALIZE THE COMPLEXITY OF WHAT I DO NOT KNOW.With over 15 years of experience at the intersection of artificial intelligence, data science, quantum computing, and national security, I bring a rare synthesis of deep technical fluency, cross-disciplinary innovation, and mission-driven leadership. I currently serve as Senior Data Scientist & Analytics Branch Chief at the U.S. Department of Labor, where I lead AI/ML initiatives to combat large-scale fraud, optimize program integrity, and design intelligent systems that operate in real-time, high-stakes environments. My work integrates predictive analytics, graph-theoretic modeling, quantum-informed algorithms, and ethical AI governance, with a focus on long-term scalability and responsible deployment.As a researcher (AI & Quantum Computing (QC in progress)) and Adjunct Professor, I’ve mentored doctoral candidates in emerging tech and published on topics ranging from deep structured relational learning to QBism-enhanced simulation systems. I’ve also built and deployed:A production-level Small Language Model (SLiM) spanning 31 heterogeneous databasesA quantum-modulated cyber-defense anomaly detection systemInteractive, full-stack AI applications using JavaScript (React/Node), Flask, and KubernetesFrom military intelligence and government analytics to academia and AI ethics, my career is defined by building human-centered, frontier-level systems that don’t just solve problems, but anticipate them.
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