Synthetic Data Tooling

Incubated Synthetic Data solution for real data augmentation at Microsoft

Impacts:

• Created high-quality synthetic data pipeline which was used by 5 B2B customers and drove millions of dollars in contracts

• Created tooling that was used to augment and supplement real-world datasets in defect and equipment status scenarios

• Reduced time to train and increased model reliability in factory floor computer vision applications

Responsibilities:

• Collaborated closely with Product Managers and customers to define the core problem and establish focused direction for the project.

• Worked closely with engineers to map out a robust and efficient pipeline

• Collaborated with researchers to define detailed personas with clear requirements

• Mapped ideal user journey to ensure a seamless and intuitive user experience, and to identify potential pain points ahead of testing

• Tested multiple prototypes to iterate and refine the product

• Managed UI designers through iterative loops

• Identified and clarified any misalignments within the team, and working to resolve any issues

• Worked closely with the launch team to ensure a seamless handoff from development to launch