Sushmita S.

Key Skills

Software

Other

CVAT

Top Subject Matter

Work hard

give best results

Top Data Types

Image

3D Sensor

Top Task Types

Bounding Box

Polygon

Cuboid

Object Detection

Point/Key Point

Entity (NER) Classification

Freelancer Overview

Graphic Designing Internship — Data labeling internship (DB Engineering & Consulting GmbH). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and CVAT. Education includes Bachelor of Arts, Management and Design Academy, Delhi (2018). AI-training focus includes data types such as 3D Sensor and Image and labeling workflows including Cuboid, Object Detection, and Point.

Labeling Experience

Data Labeling Specialist (DB Engineering & Consulting GmbH)

CVAT3D SensorPoint/Key PointEntity (NER) Classification

Worked as a Data Labeling Specialist creating and managing AI training datasets using advanced annotation workflows. Specialized in 3D point cloud labeling by interpreting scans and labeling relevant objects for computer vision perception tasks. Produced high-accuracy annotations across multiple ongoing projects and dataset batches. • Completed 3D point cloud labeling for objects such as cars, trees, buildings, and terrain • Labeled panoramic and rotational image-derived scenes for perception dataset creation • Managed multiple projects including Labeling_BP40_PZB_v2_part2, LST-new_batch_july22, Human Detection, Panorama 360-degree images, Rotational images, and LST Batches • Used tooling for 3D export and 2D/3D annotation workflows (X2 BIM, Azure AI, Recap)

2022 - Present

Data Labeling Specialist -:

CVATImageEntity (NER) Classification

No description provided.

2022 - 2025

Data labeling Internship -:

CVATImageEntity (NER) Classification

No description provided.

2021 - 2022

Data Labeling Internship (DB Engineering & Consulting GmbH)

OtherImageObject Detection

Performed image annotation work to generate AI training datasets. Labeled objects across multiple image types while applying consistent labeling standards. Ensured annotations were accurate and suitable for computer vision model training. • Annotated object instances for training datasets • Supported preparation of multiple project batches • Maintained consistency and accuracy across labeling runs • Prepared labeled outputs for review and model training pipelines

2021 - 2022

Data Labeling Intern - DB Engineering & Consulting GmbH

CVATImageEntity (NER) Classification

Handled data labeling tasks for AI training datasets with a focus on high-quality annotations and dataset preparation. Worked with annotation software to support computer vision workflows and ensure consistency across labeled data. Collaborated on labeling batches and followed project requirements using CV-focused tools and point cloud labeling knowledge. • Performed dataset labeling for AI training using CVAT • Supported 3D point cloud interpretation and object identification • Assisted with project labeling batches including images and point clouds • Ensured accuracy and consistency of annotations across deliverables

2019 - 2020

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Education

Work History