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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 Apple

Some 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

• In the first days, I map the problem, find the people who understand it best, research existing approaches, and narrow the idea into something we can actually test.
• Product discovery, competitive analysis, technical exploration, and prototyping happen in parallel.
• When the problem allows it, we can move from an early idea to a useful POC within one or two sprints.
• Once the concept proves its value, I move the team from exploration into production engineering: architecture, UX, performance, reliability, memory, security, maintainability, and scale.

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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 Engineering

I 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 Engineering

The 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.