Consulting-first site. Research-powered lab.

I build custom software, data platforms, and AI products that can actually ship.

`signal.aiwithken.com` is the public front door for my consulting work and the live research lab behind my stock-market data warehouse. On one side: product and platform delivery. On the other: transparent market research, model cards, and pre-market data storytelling.

Current focus

Warehouse-native stock lab

Consulting lane

Custom apps, data pipelines, analytics delivery, and AI product work for businesses that need something beyond templates.

Creator lane

An explainable research hub built on my medallion warehouse, with market context, stock pages, macro dashboards, and model cards.

Cadence

Overnight / pre-market refresh

Posture

Educational research, not advisory language

What I do

Services built around shipping useful systems.

The work spans product delivery, warehouse design, reporting, and AI implementation. The common thread is that the output has to be usable by real people, not just technically interesting.

Offer

Custom software systems

I design and ship software that matches the way your business actually operates instead of forcing you into generic tools.

Internal toolsClient-facing productsOperational workflows

Offer

Data engineering and reporting

I build pipelines, warehouses, and reporting layers that turn messy source systems into decision-ready data products.

Warehouses and ETLData quality and observabilityExecutive dashboards

Offer

AI and modeling products

I translate real business and market questions into model-ready datasets, explainable features, and production delivery paths.

ML feature pipelinesModel evaluationAI-powered product surfaces

Offer

Platform hardening and ownership

I stay close to the systems after launch, harden the runtime, and keep the product usable as the data and user load grow.

Deployment supportMaintenance and iterationPerformance and reliability
Loading live warehouse proof…

Featured client build

Fork It, I’m Done ordering experience

Create an ordering flow that feels custom, branded, and easy for guests to use without collapsing into a generic template.

A live ordering surface with clear menu structure, confident visual branding, and a product feel that supports the business instead of fighting it.

Client type

Restaurant / hospitality

Role

Product design, frontend engineering, backend integration, and polish

What I handled

  • A polished branded ordering experience with a clear menu hierarchy and conversion-focused flow.
  • Responsive frontend screens that keep the interface usable on both desktop and mobile.
  • The product and engineering foundation needed for a real client-facing ordering surface.
Brand-driven interface designFrontend implementationOperational ordering flowProduction-ready web delivery

Background

Built by someone who cares about systems, not just screenshots.

Master’s in Data Science

U.S. Army Information Technology Specialist background

Hands-on database, analytics, and application delivery experience

My work lives at the intersection of product delivery, data engineering, and AI implementation. I like building systems where the warehouse, the application layer, and the user-facing story all fit together cleanly.

The stock lab on this site is not a side gimmick. It is a public proof surface for how I think: source data, layer contracts, quality gates, explainable outputs, and honest caveats about what the system can and cannot claim.

That same discipline is what I bring into client work. Whether the project is a restaurant ordering experience, an internal analytics product, or a warehouse-backed AI feature, the goal is the same: ship something real, keep it understandable, and make the system reliable enough to trust.

Next step

Need a system built or want to follow the research?

The site now does both jobs on purpose: consulting lead generation and transparent public research. Reach out if you want custom software, data infrastructure, or AI product work. Follow the Lab if you want to see how I think in production.