SELECTED WORK
Problems, decisions, and things taking shape.
A few examples of the work I care about: making complex systems more usable, reducing operational friction, and exploring new ways to build software. These are selected stories, rather than a full product catalog.
01 / ACTIVE DEVELOPMENT
Pioneer
Engineering work spans planning, tools, model execution, and verification. Pioneer explores how those parts can work together in a controlled, inspectable way.
My contribution
I define product direction, experience, architectural boundaries, and acceptance criteria. Agents perform substantial implementation; I direct the work and review the results.
Where it stands
Pioneer is an evolving product family with Pioneer CLI as its execution foundation. Individual applications and integrations are at different stages of development.
02 / INTERNAL / TRUSTED TESTING
Metric Stone BI
Working with data often means moving between ingestion, SQL, visual preparation, exploration, and reporting. Metric Stone BI brings those activities into a desktop workflow.
My contribution
I set the product vision and workflow requirements, guide architecture, and define verification criteria for AI-assisted implementation.
Where it stands
The product has implemented analytical workflows and an internal Windows installer undergoing trusted testing. It is not presented here as a general public download.
03 / LOCAL DEVELOPMENT
Pioneer Command
Running coding agents across repositories needs more than a task list. It needs explicit plans, approval boundaries, execution history, independent verification, and a clear way to recover.
My contribution
I define the supervised operating model and user experience, direct the engineering work, and examine the evidence before acceptance.
Where it stands
The local desktop product began as Agent Operations Console. It supports supervised engineering workflows; continuing integration and qualification work remains under owner review.
04 / ENTERPRISE EXPERIENCE
Data platforms that reduce friction
A platform should make reliable delivery easier for the people who build and operate it.
My contribution
At Enverus, I combined architecture, technical delivery, and people leadership around a governed ingestion and publishing platform.
Where it stands
The platform consolidated 300+ sources. Legacy Go ETL processing fell from 8 hours to 45 minutes, while reusable business rules and pipeline merging reclaimed approximately 2–3 operational hours daily downstream.
THE COMMON THREAD
Make the work understandable.
Across enterprise systems and independent products, I keep coming back to the same questions: Is the problem clear? Are the boundaries sound? Can someone inspect what happened? Does the result help the people using it?