EXPERIENCE × AN OPEN MIND
PEOPLE. SYSTEMS. WHAT’S POSSIBLE.I’m Paul. I bring people, ideas, and technology together to make things work better.
23+ years of showing up. A fresh appetite for building what comes next.
I listen for what people need, connect the right perspectives, and help a team find its next step.
The experience behind it01 / SELECTED EXPLORATIONS
PERSONAL PROJECTS. PRACTICAL QUESTIONS.Learning about AI made me want to get my hands on the possibilities. These are some of the questions I’m working through.
Decide what needs to happen, which tools belong in the process, and where the work goes next.
More flow.
Less tool juggling.
What if working with AI agents felt like directing a clear process? I’m building a native Mac app to connect the tools, define the handoffs, and keep people in control.
Let AI help set up the workflow. Let the saved workflow determine how it runs.
View full screenshotStart with the people.
Build around their day.
A shared family home base for plans, responsibilities, and learning—with an assistant called Alfred. A real place to explore how technology can make ordinary life a little easier.
The useful answer should be easy to find. The people using it should stay in charge.
Three layers.
One working setup.
The working session, context, and tools.
Chosen for its lean harness and minimal system prompt.Loads the model, runs inference, and serves the response.
Optimized for Apple Silicon.Generates responses from the context it receives.
A configuration that fits the available memory.Built around
the hardware I have.
I run Qwen3.8-27B through oMLX, with Pi as the agent harness, on a MacBook Pro with M5 Pro and 48 GB of unified memory. I chose the pieces together: a model configuration that fits, inference optimized for Apple Silicon, and a lightweight harness.
Get the most useful performance from the machine by matching the model to memory and keeping the surrounding overhead low.
02 / THE PERSON BEHIND THE PROJECTS
The full story on LinkedIn
CONTINUITY & POSSIBILITYI’ve spent a long time learning how things work. Now I’m making more room to imagine how they could.
At Blue Cross Blue Shield of Massachusetts, my work has taken me across operations, delivery, and business systems. Different roles have taught me to understand the details, bring people together, and stick with the work.
Exploring LLMs and agentic AI has given that experience a new outlet. I can follow an idea, make a first version, and learn from something real.
I’m looking for a team where thoughtful experimentation is part of the everyday: people sharing ideas, making decisions, and moving useful work forward together.
A lasting commitment.
An evolving perspective.
THE THREAD THROUGH MY CAREER
Different roles. A widening view.Claims operations, workforce planning, and the people behind the process.
Projects, incident management, and collaboration across teams.
Connecting business needs, technical teams, and the details that make systems useful.
Bringing that experience into creative, collaborative work with modern AI.
03 / HOW I SHOW UP
The people closest to a problem usually have something important to teach you. Start there.
Share unfinished thinking. Invite another perspective. The best answer may belong to the room.
Make the idea tangible, see what happens, and let what you learn shape the next step.
Care about the details, the people relying on you, and what happens after the first idea.
OPEN TO THE NEXT CHAPTER
A team with room to create. People who learn from each other. Work worth getting into.
If that sounds like your world, I’d like to talk.
Let’s connect on LinkedIn