Projects
This portfolio is focused on actual work in progress tied to manufacturing, industrial problem solving, machine learning, and the long-term business vision behind Millwright Engineer and AIMMMES.
The goal of this portfolio is not to display generic sample work. It is to document meaningful progress on projects that strengthen credibility, develop practical skill, and support future industrial tools, services, and research.
AI / ML Homelab
A developing local experimentation environment for running machine learning and AI workflows tied to manufacturing and industrial use cases. This homelab supports model testing, systems learning, open-source tooling, and practical experimentation without depending entirely on cloud platforms.
View ProjectMachine Learning / Construction
A machine learning project focused on improving the review of construction submittals through more structured classification, analysis, and decision support. This project represents a direct step toward useful industrial AI applications.
View ProjectIndustrial Systems
Practical work tied to maintenance tracking, workflow structure, and industrial support systems, including database-driven tools and maintenance-oriented process organization.
View ProjectThese projects are intentionally aligned with the 3 Ms of AIMMMES: Manufacturing, Millwrighting, and Machine Erection. They are meant to build a body of work that demonstrates useful thinking, disciplined execution, and practical technical growth.
Over time, this section will expand into a stronger archive of experiments, tools, case studies, and industrial AI applications that can support future services and products.