Autonomous Vehicle Data Analyst
Annotated and validated multi-sensor datasets for autonomous vehicle perception model development. Labeled objects such as vehicles, pedestrians, lanes, and traffic signs using diverse sensor data, including LiDAR, radar, and camera footage. Performed dataset quality assurance for machine learning training pipelines, ensuring high-quality input data for algorithm training. • Collaborated with cross-functional teams to improve dataset standards. • Utilized multi-stage verification processes to enhance labeling accuracy. • Supported dataset management and tracked annotation quality metrics. • Demonstrated accuracy and efficiency in handling automotive sensor data.