About

February 7, 2025

As a retired, seasoned computer scientist with over 45 years of experience, I have a deep background in mainframe, web, WAN, LAN, and Modern Computing Systems technologies. My journey began in high school, where I first encountered an IBM PDP-8E computer in 1973. I quickly became adept at programming, even helping my math teachers with complex equations and enhancing the Lunar Lander game by adding gravitational factors. During my high school years, I attended a two-year program at Rockland County’s B.O.C.E.S., where I studied computer science and programming languages BASIC, Assembler, and machine code. I also learned electronics and hardware engineering, which included wiring programming boards (today’s breadboard).

Career Highlights

My professional career started at the Rockland Research Institute (now the Nathan S. Kline Institute), where I worked as a systems programmer, and later a software engineer and systems analyst for researchers. I developed a macro language that simplified data management and reporting for researchers, drawing inspiration from Joseph Weizenbaum’s ELIZA program.

I founded Core System Strategies to provide cutting-edge software and systems integration services. My expertise includes transitioning to open systems, strategic MIS planning, optimizing database systems, and integrating mainframe applications with modern technologies like servers, the Internet, and mobile devices. I’ve worked on custom application development, system migration, cross-platform development, performance analysis, cost-benefit assessments for integrating new technologies, preoject management and systems analysis. My success stories include working at Banker’s Trust, Merck Medco Managed Care, and with clients like TECO, Publix Supermarket, Equifax and Verizon, where I implemented innovative solutions that enhance efficiency and reduce costs.

Exploring Modern Technologies

In recent years, I have become deeply interested in Linux development and Artificial Intelligence (AI). Linux, with its open-source nature and robust performance, has become a cornerstone for my AI explorations. I have delved into areas such as AI API and application integration, LLM model training, and innovative uses of AI in single board computer applications combined with IoT. These technologies have opened new avenues for creativity and problem-solving, allowing me to merge traditional computing skills with modern AI capabilities.

Exploring the Future of Tech

I continuously explore new technologies to improve my skills and stay ahead of industry trends. My goal is to leverage AI and Linux to create solutions that are both effective and cost-efficient, ensuring that my work remains relevant and impactful in the ever-evolving tech landscape.

My blog and website are dedicated to exploring the intersection of traditional computing skills with emerging technologies like Artificial Intelligence (AI), Linux development, and Internet of Things (IoT). I aim to share insights, code, and articles on how these technologies can be leveraged to create innovative applications.

Focus Areas

AI and Machine Learning: Delving into AI API integration, Large Language Model (LLM) training, and unique applications such as using AI with single-board computers and IoT devices. For instance, exploring how AI can enhance home automation systems or improve predictive maintenance in industrial settings.
AI and Systems Development: Research and develop innovative systems and processes that leverage AI to enhance software development efficiency, including automating routine tasks, improve code quality, and streamline testing, allowing for faster development cycles and more reliable software solutions.
Linux Development: Highlighting the versatility of Linux in modern computing, from server management to embedded systems. This includes tutorials on setting up Linux environments for AI development and IoT projects.
Code Sharing and Tutorials: Providing step-by-step guides and code snippets for integrating AI with IoT devices, developing custom Linux tools, and optimizing AI models for edge computing.

Emerging Trends and Applications

Some of the exciting new applications and trends we’ll explore include:

Extended Reality (XR): How AR, VR, and MR can be integrated into educational platforms or healthcare training simulations.
Edge Computing: Developing real-time data processing solutions for autonomous vehicles or smart home devices.
Cybersecurity Mesh: Implementing flexible and scalable security architectures to protect against sophisticated cyber threats.
Ambient Computing: Creating nearly invisible tech experiences by integrating AI, IoT, and machine learning to automate daily tasks.

Community Engagement

My goal is to foster a community where developers and enthusiasts can share ideas, collaborate on projects, and learn from each other’s experiences. Whether you’re interested in AI-driven automation, Linux development, or exploring the latest IoT innovations, this platform aims to provide valuable insights and practical knowledge to help you stay ahead in the rapidly evolving tech landscape.