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I lead an AI engineering team inside Apple that builds new internal AI products. One of the products my team delivered is now used by approximately 2,000 Apple engineers.
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// Building AI Products Inside AppleSome of the most interesting work in our AI organization starts with an internal idea rather than a finished specification. An engineer or team sees a problem, aligns the idea internally, and brings it to us.
I lead the AI engineering team that takes it from there. I frame the real problem, bring in the right experts, study the domain and existing solutions, choose the technical direction, and get something real in front of users quickly.
// From Idea to Product<aside> 🧠
AI is part of how I work as well as what we build. I use it heavily across research, analysis, prototyping, engineering, and internal workflows to increase the speed of the entire team.
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// Product 01 — Software EngineeringI led the development and rollout of a specialized internal application for Apple software engineers. It gives developers a purpose-built workflow beyond a standard terminal-only experience.
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The product is currently used by approximately 2,000 Apple engineers as part of their development workflow.
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That project took the full path from an internal idea through discovery, implementation, validation, and rollout into a tool used at real scale inside Apple.
// Product 02 — Hardware EngineeringThe second product started with an idea from an Apple engineer and sits in a completely different domain: hardware engineers working with boards, chips, and related engineering workflows.
I am currently leading the team through the same process: learning the domain, pulling in the right hardware experts, testing the assumptions, building the POC, and turning the successful direction into a production-ready product.