Sayan Ghosal

Systematically evaluated AI-powered household robot task execution videos, rigorously assessing task completion accuracy and overall performance to identify critical areas for model enhancement.

Identified and precisely documented behavioral errors, task failures, and execution inconsistencies in robot interactions within complex real-world environments.

Categorized and annotated complex robot performance issues, generating high-quality data crucial for model training, validation, and iterative improvement cycles.

Quantified robot task success rates by meticulously applying predefined evaluation guidelines and quality metrics, ensuring objective performance assessment.

Delivered detailed, structured feedback on robot decision-making, object handling, navigation, and task execution quality, directly influencing development priorities.

Maintained consistent 98%+ annotation accuracy and data consistency across large volumes of robotics and AI-generated video data, ensuring integrity for critical model development.

Delivered high-quality LiDAR and image annotations for autonomous vehicle datasets, consistently achieving 98%+ accuracy across large-scale projects and enhancing data reliability.

Annotated complex 3D point cloud data using advanced techniques (cuboids, bounding boxes, polygons, polylines) to enable precise object detection and comprehensive scene understanding for AV systems.

Executed precise lane marking, drivable area segmentation, and object labeling, directly contributing to the development and refinement of autonomous driving models.

Conducted rigorous Quality Check (QC) reviews, identifying and rectifying annotation errors to improve dataset consistency and overall data quality.

Consistently exceeded productivity targets by annotating over 500 frames per day while rigorously maintaining high quality standards for critical datasets.

Collaborated with cross-functional teams to optimize annotation workflows, resulting in improved project delivery efficiency and adherence to timelines.

Streamlined vehicle loan coordination processes, reducing administrative bottlenecks and improving customer service efficiency.

Managed comprehensive Back Office Operations, encompassing various administrative tasks to ensure smooth daily functioning.

Maintained accurate and organized records for all transactions and operational activities, ensuring data integrity and compliance.

Managed end-to-end vehicle insurance processes, ensuring timely renewals and accurate policy documentation for clients.

Implemented effective sales tracking mechanisms, providing clear insights into sales performance and contributing to target achievement.

Oversaw all vehicle registration processes, ensuring compliance with regulatory requirements and efficient delivery to customers.