Engineer first. Operator mindset.
From computer engineering to AI systems, the through-line is leverage: build useful tools, sharpen decisions, and execute cleanly.
I earned my Computer Engineering degree from Miami University, which gave me the technical base to think in systems, not just tasks.
From there, I moved deeper into software engineering, automation, and AI. That path pushed me toward a different kind of work: not just coding features, but designing tools, workflows, and digital products that make execution easier.
Now I’m combining engineering, product thinking, and business. I’m also completing my MBA at Cleveland State while building AI-first products, real estate tools, and my own operating systems.
I’m actively investing in the next layer too: cloud, AI, and technical certifications. The point is not to collect credentials. The point is to turn knowledge into things that ship.
I come from real engineering work. That means I care about reliability, systems thinking, and building things that can actually hold up.
I build AI workflows, assistants, and tools that reduce manual work, improve follow-through, and make execution easier for operators.
Some of the work becomes digital products. Some becomes internal leverage. Some becomes the foundation for bigger businesses later.
Built in real environments.
The strongest signal is not theory. It’s shipping, supporting, and improving systems in live environments.
Building and maintaining business-driven software solutions, supporting live systems, documenting development work, and contributing production code across application upgrades and ongoing maintenance.
Worked on interface improvements, customer feedback workflows, and recurring SQL-backed reporting. Supported real engineering work in a manufacturing technology environment using tools like C# and ASP.NET.
Tutored students in math, computer science, and electrical and computer engineering. Helped break down difficult technical problems and communicate solutions clearly.
Supported employees with hardware and technology issues, maintained systems, and handled hands-on troubleshooting in an operating municipal environment.
Technical stack and working strengths.
The skills below come from actual school, internship, and production experience, not filler.
- Python Machine learning coursework and AI workflow building
- Java LinkedIn skill assessment passed
- C# Used across Progressive and internship work
- Visual Basic .NET Used in production-facing application work
- ASP.NET Applied during Rockwell Automation internship
- Azure DevOps Exposure to engineering workflow and delivery tooling
- Visual Studio Used in software engineering internship work
- AWS Cloud Backed by Cloud Practitioner certification
- Data Analysis Applied in technical and IT support environments
- Analytics Operational and technical problem solving
- Engineering Computer engineering background from Miami University
- Computer Technology Hands-on troubleshooting and support experience
- Communication Teaching, tutoring, and cross-team collaboration
- Critical Thinking Developed through tutoring and engineering work
- Problem Solving Repeated theme across school, internships, and production roles
- Teamwork & Coordination Experience in tutoring, retail, and engineering teams