Build and optimize infrastructure for private, personal AI models, ensuring performance and privacy while deploying at scale.

Train personalized ML models, create synthetic data pipelines, evaluate model quality, and develop safeguards for AI privacy and misuse.

Develop and optimize software features, write production code, and maintain unit tests while working on user interfaces and data pipelines.