Why Me?

Great question. Here’s the compressed reason:

  • Stanford GSB alum; former engineer and data scientist

  • Led the building and shipping of AI products in highly regulated environments, including healthcare

  • Holder of 30+ issued international patents in AI; trusted advisor to senior leaders on AI risk and responsibility

If you want the full story:

I work at the intersection of AI, healthcare, and highly regulated environments, where clarity, ethics, and precision are essential. I’m a Stanford GSB alum with a technical background as a former engineer; my first role was as a data scientist, and I’ve spent my career building, shipping, and leading AI products in some of the most regulated industries.

I hold 30+ issued patents internationally in AI, reflecting deep, hands-on experience with AI systems from research through real-world deployment. In my current work, I lead and advise on generative AI initiatives, partnering closely with legal, clinical, and product teams to ensure models are tested responsibly and deployed with appropriate safeguards.

I’m frequently asked to translate complex AI topics for non-technical stakeholders and senior leaders—helping them distinguish what materially affects decision-making from what’s hype. Colleagues describe me as a trusted thought partner who brings calm, structured thinking to complex situations, communicates clearly across disciplines, and helps organizations move forward responsibly. I’ve presented on AI topics to senior audiences at industry forums and with large technology partners, taking a practical, experience-based approach grounded in real implementation—not theory or vendor marketing.

Proven experience in AI + strategic credentials + seasoned executive = your AI new coach.

Ready?

How?

My sessions are priced at an hourly rate. We usually start with a session that covers AI fundamentals, answers your questions, and then afterwards I provide you with material you can refer to later.

From there, we can move onto intermediate or advanced topics, including:

  • How to know if an AI system is trustworthy

  • How to explain what your company is doing with AI to your board

  • What to say when someone asks, “why does it take so long to develop AI?”

  • A cheat sheet you can keep next to you during meetings that explains NLP vs NLU vs MCP vs LLM (and more)

  • Resources where you can learn more

Everyone is different, so we can skip the fundamental session and jump into the deep end. It’s your time and it’s up to you.

We can get started by you emailing me, and sharing a few questions you want to be able to confidently answer, or describing your learning goal.

AMA

  • Stanford Graduate School of Business - Masters in Business

    Penn State University - B.S. in Management Information Systems

  • As a young child, I became obsessed with numerical patterns. My parents thought it was peculiar that I memorized hundreds of phone numbers.

    As a teenager, I got a job in the early internet days configuring modems. I was hooked. I went on to study computers.

    My first big salary job out of college was a data scientist. Again, I was hooked.

    Since, I’ve been working in and around AI my entire career. I wasn’t the first person to write an algorithm that could identify whether a photo contained a muffin or a cat, nor have I written an AI book. But before it was a buzz word, I was writing code, authoring patents, and building AI-powered products that I believe improve our world. Through that hard work, I’ve learned a lot, and I would love to share that with others.

    I was an early member of the OpenAI Forum, and an inaugural member of the NCQA AI working standards group.

    I really enjoy helping others learn about AI. No question is too big or too small, and no one is incapable.

  • Traditional AI leans on probability of predicting an outcome. Think statistics. I have over 30 patents in this area.

    GenAI creates new content based on a prompt. Here's my FastCompany interview.

  • When you start with responsible, everything else lines up.

  • In college, my brother and I wanted to overclock my processor so we could play demanding games.

    We built a water cooled system that required a hand-drilled metal block to be attached to the processor component. We pumped water through the metal block's channels to extract heat from the processor, and allow it to cool quicker.

    Although, we burned out a few processors, we eventually figured it out, and we became every college gamer's BFF.

    This is also why I didn't go to parties during college :)

  • Yep.

    There is a decent story behind it. And, it has become an adjective that I apply to every challenge. There is always a positive reframe in every failure.

"You gain strength, courage and confidence by every experience in which you really stop to look fear in the face. You must do the thing you think you cannot do."

— Eleanor Roosevelt