I'm an engineering and technology leader with a background in complex physical products, autonomous systems, active safety, controls, electrification, simulation, reliability, and aerospace engineering.

Professionally, I lead multidisciplinary engineering teams developing both core product technologies and emerging capabilities, including autonomy and AI-enabled systems. I'm also currently pursuing an M.S. in Computer Science at Clemson University, with a focus on strengthening my hands-on capabilities in software development, artificial intelligence, algorithms, and modern computing systems.

This GitHub account is primarily a learning and experimentation workspace. The projects here are personal rather than professional, but I use them to deepen practical experience with software engineering tools, languages, development workflows, and small-scale AI applications.

What I'm exploring Python and C++ Artificial intelligence and machine learning Object-oriented software development Algorithms and data structures Git and GitHub workflows Automated testing with Pytest Package development and release workflows Embedded systems and Arduino AI-assisted software development Applications of AI to engineering and physical-world systems Current interests

I'm particularly interested in the intersection of AI and the physical world: autonomy, robotics, intelligent machines, simulation, engineering productivity, and tools that help technical teams solve difficult problems more effectively.

I also enjoy using small personal projects as a way to understand technologies from the implementation level rather than only from a leadership or architectural perspective.

A few projects retrotype

A Python toolkit for working with 1980s magazine type-in programs, including tools for entering, debugging, converting, and preserving vintage code. I use the project as a practical environment for learning Python architecture, testing, packaging, Git workflows, and release practices.

WoodStoveRegulator

An Arduino/C++ project for automatically regulating a wood-stove damper. A small example of the kind of problem I enjoy: sensing, control logic, software, and a physical system working together.

Retro-computing projects

Several repositories preserve and modernize Commodore 64 programs from magazines of the 1980s. Beyond the nostalgia, these have been useful vehicles for learning Python, BASIC, assembly concepts, automated testing, data conversion, and software tooling.

Background

My career has centered on turning complex engineering ideas into real products and building the teams and technical capabilities required to do it. I'm now deliberately extending that experience deeper into computer science and AI, with the goal of contributing more directly to the development and application of intelligent systems.