Akhila prasoona panyam

I’m a Detail-oriented Process Associate with hands-on experience in data labeling, annotation, and mapping processes for AI/ML model training. I focus on accuracy, consistency, and data integrity while using industry-standard tools like Label box and Supervisely.

In my current role with Lancesoft on the Uber labelling process, I perform high-accuracy image, video, and text annotation while ensuring compliance with detailed project guidelines. I review and validate labelled datasets to identify discrepancies and maintain reliable quality control.

I also collaborate across teams to improve process efficiency—coordinating with engineering and data science to optimize the annotation workflow and support automation efforts. I maintain detailed reports and dashboards for productivity and error-rate tracking, and I contribute mapping-related work including geographic data analysis, route optimization, and verification of labelled location accuracy.