Education

• Published Thesis: "Remote Graphical Interface for Equipment Diagnostics"
• Gained a strong foundation in electrical engineering principles.
• Developed analytical and problem-solving skills that continue to inform my approach to technology and innovation.
• Applied academic learning to real world applications through co-op program.

Bridging industrial efficiency with real-time diagnostics

In modern manufacturing environments, real-time access to diagnostic information is crucial for minimizing downtime and optimizing workflow. My thesis focused on designing and implementing a Remote Graphical User Interface (G.U.I.) Diagnostic System to improve factory control systems. The goal was to enable plant workers to access critical equipment diagnostics from anywhere on the floor, rather than being tied to fixed locations like control rooms or static panels.

This research explored:

• The limitations of traditional factory diagnostic systems and their impact on efficiency.
• How a wireless, mobile-friendly G.U.I. could enhance agility, allowing workers to respond to issues in real-time.
• The use of RSLogix5 and RSView software to develop and test this system, ensuring reliability in real-world applications.

How This Shaped My Approach

This project was my first deep dive into human-centered technology solutions, balancing technical feasibility with user needs. It reinforced my belief that technology should empower people, not just exist as a tool—a perspective that continues to guide my work in technology consulting, problem-solving, and product innovation.

I continue to apply these principles, whether helping businesses integrate smarter systems, optimize workflows, or leverage technology for growth and efficiency.

Availability: Currently hard-cover bound; a digital version may be available in the future.