My technical capabilities are demonstrated through the complete design, implementation, and maintenance of AstroPema.AI—a fully self-hosted website running on custom-configured Ubuntu Linux infrastructure. The site showcases end-to-end systems integration: from hardware selection and GPU optimization for AI workloads, to Apache web server configuration, PostgreSQL database management, and real-time deployment of machine learning models. Every aspect of the site's functionality—from the cosmic-themed responsive CSS design to the backend AI inference engines processing astrological interpretations—represents hands-on implementation of production-ready technologies. The website serves as a living demonstration of my ability to bridge hardware architecture, systems administration, web development, database design, and AI model deployment in a cohesive, publicly accessible platform. My technology career spans over four decades, beginning in the 1970s as a television repairman—an era when understanding electronics meant working with discrete components, analog circuits, and hands-on troubleshooting without software diagnostics. This foundation in hardware fundamentals evolved through positions at major technology companies including ITT/Alcatel in telecommunications infrastructure, SCO in Unix systems development, and research roles at UC Santa Cruz. My expertise in Linux systems administration was validated through contract consulting work for Cisco, where enterprise-level network integration and system reliability were critical requirements. This progression from analog electronics repair to enterprise Unix/Linux consulting represents a continuous adaptation to emerging technologies while maintaining deep understanding of underlying hardware principles—experience that proves invaluable when optimizing modern AI workloads and server performance. I hold a Bachelor of Science in Mathematics from the University of Puerto Rico, which provided the analytical foundation for my current work in machine learning and data science. This mathematical background has been enhanced through advanced professional certifications including the Data Science & Machine Learning Certificate from MIT's Institute for Data, Systems, and Society (IDSS) and the Deep Learning Professional Certificate from Carnegie Mellon University. These credentials complement four decades of hands-on technical experience, demonstrating both theoretical understanding and practical application of advanced computational methods in cybersecurity and artificial intelligence systems. I can gladly provide documentation of this experience in person.