Apple

Case Study

At Apple, I supported internal machine-learning workflows by building tooling around support conversations and intent mapping. The team used this to understand where customer experiences could improve and to guide higher-level business decisions.

A major challenge was delivering an ML-driven experience that still felt human and high quality. I helped structure and map the intent tree, supported rollout work across languages and locales, and contributed to data visualization patterns that made insights more actionable.

The outcome was stronger customer-experience focus, clearer decision-making signals, and deep practical exposure to production ML systems.

What I handled

• Worked closely with AI and Machine Learning teams to provide conversational flow data
• Built web tooling to review ML training and evaluation data to improve model quality.
• Implemented feedback workflows used to improve model quality.