the mind behind
the inventions
I've been building AI products since before it was cool. A decade of turning emerging capabilities into products that change how people live and work — not by chasing what's possible, but by obsessing over what's needed.
I've led 0-to-1-to-scale AI products inside some of the world's most-used consumer platforms — setting the vision, designing the system architecture, embedding responsible AI as a competitive edge, and shipping experiences that reached hundreds of millions of people.
I operate where model capabilities, product design, and business model converge. That's where the most consequential decisions are made — and where the most interesting products are born.
The question is never "what can we build?" It's "what does someone actually need, and is AI genuinely the best way to meet that need?"
An LLM can generate a spec in seconds. What it can't do is own the consequences. The PM's edge is direction — crisp framing, the right constraints, the narrative that moves a team.
Capability is table stakes. The differentiator is products that meet people with care — that earn trust interaction by interaction.
firefox · feature
Smart Window
AI assistance built into the browser window itself — browse, ask, and act in one place.
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time · best inventions
Shake to Summarize
Named a TIME Best Inventions special mention.
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mozilla blog
AI in Firefox
The features bringing helpful, trustworthy AI into the browser.
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mozilla blog
AI link previews
Glance at what's behind a link before you commit the click.
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mozilla blog
Inference in web extensions
On-device AI, opened up to every extension developer.
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techcrunch · press
Tinder's AI Photo Selector
Coverage of the launch — AI that picks your best profile photos.
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firstpost · press
AI-assisted bios
Helping users write better profiles, not just pick photos.
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