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From the 0-to-1 Galaxy AI launch — 84% monthly-active adoption across a ~90M-user base — to owning the US smartphone P&L and founding and selling a cognitive-AI startup, I turn deep technical understanding into products that get used at scale. I stay technically hands-on too, so I can make the architecture calls, weigh latency and cost tradeoffs, and lead engineering teams with credibility.
At Samsung I owned the US smartphone P&L and led the 0-to-1 Galaxy AI launch to 84% monthly-active adoption across ~90M users — aligning Engineering, Legal, and Marketing, and doubling hyper-premium share against Apple. Earlier I advised AT&T's C-suite on a $33B enterprise portfolio and founded a cognitive-AI company that a Fortune 100 telecom acquired. Today, at my own venture, I architect ML pipelines and deploy self-hosted AI models end to end — close enough to the systems to make the architecture calls, weigh latency and cost tradeoffs, and earn credibility with the engineers I work with.
I do my best work at the messy 0-to-1 stage, in large matrixed organizations where you win by influence rather than authority — leading with data, but never forgetting that trust and customer experience are what actually move decisions.
I'd rather make it effortless to get what you need than have you wait on my inbox — so I set up two agents: one for role fit and scheduling, one that answers about my background in my own voice. Either way, you're always one step from reaching the real me. Taking friction out of the path is how I think about product.
Fast answers on role fit, requirements, and logistics — and it can get a call on my calendar.
My replica — ask about past roles, projects, goals, and motivations, in my own voice.