Dileep Mahankali

AI/ML Data Annotation Specialist with 1 year of experience in 4D LiDAR annotation for autonomous vehicle projects at Wipro. Skilled in frame-by-frame temporal labeling, multi-frame object tracking, cuboid annotation, and LiDAR point cloud validation using Lightbox tools. Experienced in handling complex real-world driving scenarios including day/night environments, rainy conditions, city roads, parking lots, and test tracks.

Strong understanding of autonomous driving datasets, computer vision workflows, and AI/ML training data preparation.

Associate (AI/ML Data Annotation & 4D LiDAR Annotation) at Wipro (2024-08 – 2025-08)

Client: Uber – Aurora Autonomous Vehicles Program

• Performed 4D LiDAR annotation, frame-by-frame temporal labeling, and multi-frame object tracking on autonomous vehicle datasets using the Lightbox annotation platform.
• Annotated dynamic and static road objects including vehicles, pedestrians, cyclists, traffic signs, lane boundaries, and road infrastructure using cuboid annotation techniques in LiDAR point cloud data.
• Annotated and validated datasets across complex real-world driving scenarios including day/night environments, rainy conditions, urban roads, parking lots, and autonomous vehicle test tracks.
• Conducted data quality validation, error detection, and annotation correction to support high-quality AI/ML training datasets for autonomous driving and computer vision applications.

Bachelor of Technology (B.Tech) in Computer Science & Engineering – Jawaharlal Nehru Technological University (2019-08 – 2023-05)