Enterprise AI architect · Advisor · Bay Area

I translate AI concepts, agentic workflows, infrastructure, security, and business strategy into clear decisions for the people who have to buy it, deploy it, govern it, enable it, and live with the results.

What I Believe

AI adoption is not just a model problem.

The hard part is turning AI capability into real workflows, trusted systems, secure deployment patterns, partner-ready motions, and measurable business outcomes.

That requires more than better prompts. It requires executives, partners, engineers, operators, and users to understand what is being built, why it matters, how it changes work, where the risks live, and how it will be supported after the pilot.

My work is focused on that translation layer.

What I Work On

Where AI becomes real inside the enterprise.

02

Enterprise AI Adoption

How organizations move from AI curiosity to useful, governed, production-ready workflows.

03

AI Agents and Workflows

How agentic systems change business processes, software, operations, and decision-making.

04

AI Infrastructure and Security

How cloud, datacenter, GPU, networking, security, and observability decisions shape AI outcomes.

Background

Built from technical depth and go-to-market reality.

I work at the intersection of AI, infrastructure, cloud, security, enterprise architecture, partner strategy, and real-world adoption.

Over the last five years, I have worked across AI, datacenter, cloud, and security architecture, helping customers and partners understand complex technology and turn it into practical strategy.

Before that, I worked in enterprise IT leadership, where I saw how technology actually gets bought, deployed, supported, and measured inside large organizations.

I also advise in the finance industry on AI and work hands-on with AI-native startups, which keeps me close to both regulated buyers and the people shipping at the edge of the field.

Currently

What I’m working on right now.

  • Advising AI-native startups — product, GTM, and partner motions. Some details are under wraps.
  • Architecting Enterprise AI rollouts — agentic workflows, governance, infrastructure, and the translation layer.
  • Writing Field notes on partner ecosystems — how AI actually gets bought, deployed, governed, and scaled.

Latest Writing

Why AI Adoption Is a Partner Ecosystem Problem, Not Just a Product Problem

What enterprise technology taught me about how AI will actually get bought, deployed, governed, and scaled.

Contact

A practical point of view on AI adoption.

I’m based in the Bay Area and write about enterprise AI adoption, partner ecosystems, AI agents, infrastructure, security, and the translation layer between technical capability and business value.

Connect with me on LinkedIn