AI Quality Assurance Specialist (focused on data generation and labeling for perception models)
ImageClassification
Developed testing strategies for perception models in autonomous vehicles, simulating edge cases and adversarial scenarios to ensure robustness. Created and labeled synthetic images and test datasets, focusing on rare and critical driving events for improved model performance. Authored test protocols for FDA-regulated AI medical diagnostic tools, collaborating with QA teams for AI model training and validation.
• Labeled diverse image datasets for autonomous driving scenarios.
• Generated synthetic image data to represent rare events.
• Classified medical image data for diagnostic tool validation.
• Trained teams on labeling procedures and AI model testing methodologies.
Developed testing strategies for perception models in autonomous vehicles, simulating edge cases and adversarial scenarios to ensure robustness. Created and labeled synthetic images and test datasets, focusing on rare and critical driving events for improved model performance. Authored test protocols for FDA-regulated AI medical diagnostic tools, collaborating with QA teams for AI model training and validation. • Labeled diverse image datasets for autonomous driving scenarios. • Generated synthetic image data to represent rare events. • Classified medical image data for diagnostic tool validation. • Trained teams on labeling procedures and AI model testing methodologies.
2018 - 2019