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Work
I study how AI becomes infrastructure: What gets adopted, what's ignored, and how this shapes the future of intelligence. My background focuses on scaling commercial applications of machine learning in eCommerce (Jet.com $3.3B acq) and social networking (LinkedIn). Today, I focus on the intersection between advanced model capabilities and real-world application. I believe the real frontier in AI isn’t just technical progress — but who influence the economics of data, compute, and user engagement as models scale globally.
Personal
- I live in San Francisco
- Writers I admire include Noah Smith, Nick Bostrom, and Immanuel Kant. I enjoy science fiction films which provoke thoughts about the complexities of human life, such as The Three-Body Problem and The Prestige
Interests & Personal Philosophy
- Data: I believe the demand for high-quality training data is underestimated, and we will see the rise of data brokerage markets for AI
- Compute: Compute will drive not only decisions on what should be built, but what actually ships
- AI Research: I follow work on alignment and interpretability research
- Application: I'm tracking how core research labs vs. independent entities will faire in scaling real-world commercial adoption
- Life: I believe that your environment—especially your social and informational networks—shapes who you become more than your conscious choices do. What feels like “intentionality” is often just the emergent effect of subtle, repeated training signals from the people and structures around you