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

Part architect, part strategist — your AI transformation catalyst
Our Operating Model

The intersection of the human and the machine — clarity of mind, clarity of purpose. We're in this together: We're here to help you do what you do best, apply leverage - resulting in direct, lasting, measurable impact.

The short version

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

At Microsoft I helped drive Bing's search share from under 10% to over 30%, then served as lead data scientist to the Chief Strategy Officer and CFO — architecting the consumer data lake and first executive Power BI dashboards behind the company's 2014 transformation. I was on-stage with Satya Nadella as he took our enterprise data strategy and 'OKR-first' approach to the field. I went on to ship AI-powered software to hundreds of millions of people in MS Office, scaling Word's web and mobile apps to 150M+ users and leading data engineering, data science, and strategy for features like PowerPoint Designer, Word Editor, and LinkedIn Resume Assistant now all part of Microsoft Copilot.

After leaving Microsoft for a mid-size telecom analytics company, I led machine learning for spam detection solutions for some of America's largest telecom providers. Implementing MLOps best practices borrowed from my Microsoft experience resulted in a doubling (and more) of voice-spam capture and mitigation - saving consumers and businesses millions lost to fraud in less than a year. I then built a full Databricks lakehouse for a small, and growing ed-tech company helping over 31,000 school districts manage emergency preparedness, capture online threats, and implement behavior-management programs with amazing software and agentic AI solutions.

In 2022, I moved from near Redmond, Washington to the Tampa Bay area, for the weather, the people, and the opportunities. Our mission now is to put our 25 years experience in big-tech, big-data, and solving big problems to work for Florida businesses. The opportunities here are incredible, incredibly diverse and ripe to lead the world as AI transforms business and society - and our mission is to ensure AI makes life better for humans.

A few principles that shape the 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.

We Use Elon Musk's Algorithm Relentlessly

1. Question Every Requirement. 2. Delete any part of the process you can. If you don't have to add back 10% later, you didn't delete enough. 3. Simplify and Optimize. 4. Accelerate Cycle Time. 5. Automate after steps 1-4 are as cost-efficient as they can get.

— Walter Isaacson, Biography of Elon Musk
Track record

Where I've made an impact.

2026 — Now

Principal & Founder, DataMind Technology

Boutique AI consultancy delivering fractional technical leadership and AI-powered software. As Fractional CTO for TAP Real Estate Technologies (OTC: RWAX), architected and shipped the full stack — UX, Docker API, and Databricks on Azure — cutting $1M+ from early-stage build cost. Going live with the first product in private preview now.

2022 — 2026

VP, Data Science & Solutions — Navigate360

Built and led the data science, ML, and full-stack org serving 5,000+ U.S. school districts. Shipped an agentic AI platform on Databricks in three months — unlocking $2M+ in new investment — and rescued a failing data warehouse with a lakehouse that cut developer costs 50% and AWS spend 70%.

2021 — 2022

Senior Director, Data — Call Guardian (TNS)

Solution architect for the voice-spam defense protecting 100M+ subscribers across the largest U.S. carriers. Lifted fraud- and spam-call detection sensitivity over 50% in under six months while reducing false positives by >80%.

2009 — 2021

Principal Data Science Manager — Microsoft

Twelve years turning data into products at global scale. Helped grow Bing search share from under 10% to over 30%, served as lead data scientist to the Chief Strategy Officer and CFO, then led data science for Office and Teams — scaling Word to 150M+ users and designing the AI services now built into Microsoft Copilot.

2007 — 2009

Director, Reporting & Analytics — Expedia

Re-architected forecasting and measurement for global customer-service operations, cutting call-center costs 30%+ and improving volume and queue forecast accuracy 80%.

2003 — 2007

VP, Performance Analytics — WaMu / JPMorgan Chase

Built the data warehouse and geospatial/demographic analytics for a 2,000+ branch retail bank, driving profitable growth of 50%+ per year.

Let's see if we're a fit.

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