Senior Director of Product Management | Enterprise AI & Linux Management | Red Hat | Open Source

I'm a hands-on product management executive who still writes code because it's the most reliable way to stay sharp, stay curious, and stay honest about how modern software actually works. I studied computer science, built my early career as an engineer, and even in my current role at Red Hat, I keep a technical practice going here on GitHub.

This repo exists to show that even product executives can still be deeply technical, experimentally minded, and engaged with real development workflows.

• Experiments with AI agent frameworks, including local-first MCP server prototypes.
• Containerization and supply chain security work using Podman, Chainguard images, and distroless builds.
• Automation projects for macOS, Home Assistant, and infrastructure tooling.
• Personal explorations into applied ML, analytics, and developer tooling.

This isn't a polished product portfolio. It's the workbench. I use this space the same way I did as a computer science grad - to try things, break things, rebuild better, and stay connected to technology, because this stuff is fun.

My leadership philosophy is simple. You can't lead modern product or engineering organizations if you don't understand the technology behind them.

Staying hands-on helps me:

• Prototype new ideas quickly
• Remember the practicalities of my current position at an Open Source Software company
• Evaluate technical feasibility and architectural tradeoffs
• Experiment with tools
• Communicate credibly with engineers
• Understand emerging trends before they hit the enterprise
• Have fun

If you found me through GitHub and want to understand the leadership side of my work — running AI-enabled platform product teams, building organizational strategy, scaling enterprise software portfolios — visit my LinkedIn:

LinkedIn: https://www.linkedin.com/in/brent-midwood/

If you discovered me on LinkedIn and want to see what I actually build when I have the keyboard to myself — explore the repos here. This is where I test ideas, explore new technologies, and keep myself grounded in the technical realities of building software at scale.

At the end of the day, I'm still the guy who learned to program in school because it was fun, and it still is. I studied mathematics and computer science at William & Mary and have always enjoyed applying those foundations to real systems. Earlier in my career I published research on machine learning and human–machine interaction in aviation systems, and that curiosity still drives many of the experiments in these repos.