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I work on bridging machine learning with real-world application.
Personal
- I live in San Francisco
- My background spans ML Application and Product Strategy
- I am interested in AI data quality, model training and real-world deployment
- 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
Research & Work
- I’m interested in how data curation shapes model performance, and how models are deployed into real-world application
- My background focuses on applying data and ML to drive revenue expansion and automation in Advertising (LinkedIn), eCommerce (Jet.com, Walmart eCommerce) and Media Subscriptions (NYTimes). I recently gave a lecture in Wharton's AI Application curriculum, focused on how organizations decide between rule-based vs. ML features in mitigating online price wars
- On the side, I occasionally back early founders in AI infrastructure and data tooling—especially when I can be useful beyond capital
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