Data Β· Analytics Β· AI
Where Strategy Meets Architecture
I like to turn messy data landscapes into scalable, AI-ready platforms and share what I learn along the way.
I write & speak about
CORE EXPERTISE
Latest Thinking
What I’ve Been Writing About
AI Agents are Shrinking Middle: Why They Make 1 Expert More Powerful Than a Full Team
Reading Time: 10 minutesA single principal data architect, three specialized AI agents, and a two-hour window. In that time, a pipeline incident was diagnosed and remediated, a data quality anomaly was flagged and…
How to Fix 3 Massive Gaps in Your LLM Observability Stack
Reading Time: 9 minutesYou shipped your LLM powered application to production. Users are hitting it. And somewhere in the back of your mind is a quiet, persistent question you cannot fully answer: is…
Open Semantic Interchange (OSI): Can Enterprise really implement it?
Reading Time: 7 minutesSnowflake, Salesforce, dbt Labs, Databricks, and fifteen other industry leaders just finalized a common specification for how AI systems, BI tools, and data platforms read and share your business definitions….
My lens on the industry
The Three Things I Actually Care About
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Platform Architecture at Scale
Designing data systems that survive at scale with reality cloud-native, observable, governed, and actually used.
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Enterprise AI That Ships
From POC to production AI strategies grounded in data readiness, not hype. AI, RAG, and responsible automation.
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Tech Leadership & Strategy
Bridging the gap between technical possibility and business reality aligning platform decisions with executive strategy.
Experience only matters when itβs shared.
I support individuals and organizations by reviewing their data platforms, AI readiness, and architecture providing honest, practical recommendations, Also love to engage in meaningful tech discussions learn from your experience.
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Practical essays on data architecture, AI strategy, and building platforms that last. No fluff, no hype.

