Who We Are

Part architect, part strategist, your AI transformation catalyst.

A forward-deployed data & AI architect and fractional CTO/CDO who builds alongside your team — not with slide decks and not an offshore vendor. We catalyze your transformation with our proprietary toolkits, deep expertise and personal attention.

Stories

Latest from the field.

Stories
A coastal city at dusk with buildings traced as glowing purple digital twins, linked by holographic wiring
The short version

Twenty-five years turning data into products the world actually uses.

Big Tech Depth

At Microsoft I helped drive Bing's search share from under 10% to over 30%, then served as lead data scientist to the CSO and CFO — the consumer data lake and first executive Power BI dashboards behind the 2014 transformation. I shipped AI across Office: Word to 150M+ users, PowerPoint Designer, Word Editor, LinkedIn Resume Assistant — now in Copilot.

BingConsumer data lakeCopilot150M users

Data and AI Breadth

As Sr. Director, Data at Transaction Network Services I led R&D, data engineering, and machine learning for America's largest telecoms. MLOps doubled voice-spam capture in under a year and saved consumers and businesses millions lost to fraud.

MLOpsVoice-spamTelecomFraud

New Adventures and Startups

Recruited in 2022 to Navigate360 (31,000 school districts). I turned around a failing warehouse, stood up Databricks lakehouse and ML, and shipped a FERPA-compliant suite with a 360° view of safety, threats, and student behavior. That year we moved to Tampa Bay — same chair, now for Florida businesses.

LakehouseAgentic AIFERPAK-12
Track record

Where I've made an impact.

A 2,000-branch bank. Global operations at Expedia. Bing and Office at Microsoft. Voice-spam defense at TNS. School safety at Navigate360. DataMind is the practice that puts that chair to work in Tampa Bay.

  • Work
  • School
  1. Washington MutualJPMorgan Chase

    Work

    2003–2007

    WaMu / JPMorgan Chase

    A 2,000-branch retail bank

    University of Washington

    School

    2000–2002

    University of Washington

    MBA: Economics, Entrepreneurship, and Technology

  2. Expedia

    Work

    2007–2009

    Expedia

    Global operations analytics

  3. Microsoft

    Work

    2009–2021

    Microsoft

    Bing, Office, Copilot-era AI

    Northwestern University

    School

    2016–2018

    Northwestern University

    MS Data Science: Artificial Intelligence and Machine Learning

  4. Transaction Network Services

    Work

    2021–2022

    Transaction Network Services

    Call Guardian: voice-spam defense

  5. Navigate360

    Work

    2022–2026

    Navigate360

    School safety data and AI

  6. DataMind Technology

    Now

    2026–

    DataMind Technology

    Principal and founder

A few principles that shape our work.

01

Outcomes over output

Every effort ties to an objective and a key result. If it doesn't move a number that matters, we don't build it.

02

Forward-deployed

Whether I'm hired as a 'fractional CTO' or 'strategic mercenary', I work embedded with your team, writing code, and shipping in weeks — not advising from a distance with slideware.

03

Human in the loop

AI amplifies people; it does not replace them. The goal is more human impact, not less.

04

Clarity first

Uncluttered thinking, uncluttered systems. Simplicity is a competitive advantage. "Delete requirements without an identifiable source" (Elon Musk)

05

Compounding wins

Incremental, durable improvements that stack rapidly using simple, systematic, experiment-led Devops processes — not big-bang projects that over-promise and stall.

06

Honest fit

I'll tell you plainly whether DataMind is right for you. The relationship matters more than the engagement.

Let's see if we're a fit.

Start a conversation with the intake agent, or book a discovery session directly.