Business Architect · Operator · AI-Enabled

I build organizations where strategy, people, and technology connect

I think in systems — mapping the ecosystem, designing the plan, and building the teams that execute it. Customer-facing organizations from zero, scaled to $100M+ ARR, highest manager score company-wide. Now I bring AI into the playbook as an accelerant.

Technically fluent enough to architect the system, evaluate the trade-offs, and ask the right questions — without needing to write every line myself. Stanford AI/ML certified, building with RAG, agents, and agentic workflows. Whether I'm leading a team of people or a team of AI agents, the approach is the same: see the whole picture, set the quality bar, and make sure it ships.

Why this combination works

  • Business depth: MBA (USC), Former CRO, scaled to $100M+ ARR, built customer-facing orgs from 0→1
  • Technical fluency: BS Engineering (USC), architected cloud-native SaaS platforms, led enterprise integrations
  • AI capability: Stanford AI/ML certs (NLP, ML, CV), hands-on with RAG, agents, and LLM workflows
  • People + change: Highest manager score company-wide; navigated post-acquisition integrations and org transformations
How I operate

1. See the system

Map the ecosystem — business context, stakeholders, constraints, objectives. Ask the questions that connect the dots.

2. Design the plan

Build a strategy that balances ambition with pragmatism. Refine iteratively until purpose and deliverables are clear.

3. Build the team & execute

Hire strong people, set clear standards, and orchestrate across teams, AI tools, and processes. I scale through people — not just through technology.

4. Manage & adapt

Monitor progress, adjust course, develop talent, and navigate organizational dynamics — inertia, politics, fear of change — and deliver.

Enterprise AI Playbook

How I think about deploying AI in the enterprise — data silos, fragmented processes, people fears, governance, and the full stack. It's not just about the agents.

See my playbook
2024–2025 AI Deep Dive
  • Stanford School of Engineering AI/ML Certifications (NLP, ML, Computer Vision)
  • Claude "Rigorous Autodidact" — first-principles thinker, systems builder
  • Gemini "Engineer-Strategist" — bridges business strategy + technical depth
  • ChatGPT Top 3% of users · "The Engineer" · 543 chats, 7K+ messages
See my journey

Track record

The proof points behind the model.

Scale

$30M → $100M+ ARR

Built Sales, Pre-Sales & Customer Success from scratch. 30%+ YoY growth for 3 consecutive years as CRO.

People

Teams + transformation

50+ FTEs, offshore teams, post-acquisition integrations. Highest manager score company-wide. Built cultures that retain strong people.

AI + Tech

AI-augmented building

Stanford AI/ML certs. Building with RAG, agents, and LLM workflows. Cloud-native platform architecture (AWS, PCI L1). Technically fluent, AI-enabled.

What I'm looking for

Roles where I can apply the full stack — business architecture, technical fluency, AI capability, and people leadership. GTM, Solutions, or AI-enabled leadership positions where the job is to build and deliver solutions that are high impact.

California-based or fully remote. Also open to interim or fractional engagements.

More about how I think and work →

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