AI / ML
Shipping ML Features Responsibly
What I learned defining model evaluation criteria and AI ethics standards at a consumer creative platform — and why "move fast" is the wrong instinct when models touch real people.
Thinking Out Loud
Writing on AI/ML product management, building creative tools at scale, and the craft of shipping things people actually use.
Exploring how intentional restraint — choosing what not to build — separates good product managers from great ones. The features we kill define us as much as the ones we ship.
AI / ML
What I learned defining model evaluation criteria and AI ethics standards at a consumer creative platform — and why "move fast" is the wrong instinct when models touch real people.
Career
MIT to Wharton to product. What a technical foundation gives you, what it doesn't, and why the biggest adjustment isn't technical — it's political.
Product Strategy
Everyone claims 0→1 experience. Here's what it actually requires: tolerance for ambiguity, strong instincts without data, and the discipline to stop building before you've proven anything.
Creative Tools
Lessons from Lightroom, VSCO, and Snap on how to build creative tools that serve professionals and beginners simultaneously without designing for no one.
AI / ML
Offline eval vs. online A/B tests, why they disagree, and how to make decisions when your model metrics and your product metrics point in different directions.
Product Strategy
On building VSCO's analytics and experimentation framework — and why the hardest part wasn't the tooling, it was changing how teams make decisions.
Stay in the Loop
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