AIWithKen builds the product layer and the data layer together, so your workflows stay usable, your reporting stays trustworthy, and your team is not stuck reconciling broken tools.
What I build
Client-facing products, internal workflows, and research-grade data systems.
Who this is for
Founders and operators who need the system underneath the interface to finally make sense.
Why follow
The lab shows the shipped thinking in public: signals, caveats, freshness, and the system behind the screen.
How I Usually Help
The common thread is the same every time: fix the system beneath the surface and the surface people actually use.
For operators outgrowing generic SaaS
I design and ship software that matches how your business actually runs instead of forcing you into brittle workarounds.
Outcome
Replace duct-taped tools with a workflow that fits the business.
For teams buried in spreadsheet reconciliation
I build the warehouse, reporting, and quality layer that turns messy source systems into decision-ready data.
Outcome
Make the numbers trustworthy enough to run the business from.
For teams that need explainable decision systems
I translate real business and market questions into explainable features, model-ready data, and public-facing decision surfaces.
Outcome
Turn analysis into a system people can actually inspect and use.
For systems that already shipped and now need to hold up
I stay close after launch to harden the runtime, fix weak spots, and keep the product usable as complexity and load grow.
Outcome
Keep the system reliable instead of letting it decay after launch.
Why Teams Bring Me In
A lot of teams do not have a pure software problem or a pure data problem. They have a broken seam between the interface, the workflow, and the reporting underneath it.
That is the layer I like to own. I build the product surface, the data plumbing, and the operational logic together so the result is not just impressive in a demo, but usable in the real business.
My background in Army IT and data science shapes how I ship: disciplined systems, clear tradeoffs, and enough public proof that you can judge the work before we ever talk.
Build Lens
Product + data + operations
Delivery Bias
Ship the working system
Background
Army IT + data science
Connect with me on LinkedIn to discuss your project.
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