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Karandeep S.

Karandeep S.

AI Training Data Specialist| High-Accuracy| AI Training Contributor

India flagNalagarh, India

Key Skills

Software

AppenAppen
CVATCVAT
LabelboxLabelbox
RemotasksRemotasks
Scale AIScale AI
SuperviselySupervisely
TolokaToloka
V7 LabsV7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
VideoVideo

Top Task Types

Bounding BoxBounding Box
Entity (NER) ClassificationEntity (NER) Classification
Object DetectionObject Detection
PolygonPolygon
SegmentationSegmentation

Freelancer Overview

I am a detail-oriented AI Data Annotator and Data Labeling Specialist with 1-3 years of experience in annotating diverse datasets to train AI models. I have worked on image, video, text, audio, and 3D LiDAR data annotation using industry-leading tools like Labelbox, CVAT, Supervisely, V7 Labs, and Scale AI. My expertise includes bounding boxes, polygon annotation, semantic segmentation, object tracking, OCR, Named Entity Recognition (NER), and speech-to-text transcription. I have contributed to AI model training in industries like autonomous vehicles, computer vision, and NLP, ensuring high-quality labeled data for machine learning applications. My experience in quality control, data validation, and AI training optimization allows me to provide accurate annotations that enhance AI model performance. I am proficient in Python-based data processing (Pandas, NumPy) and project management tools like Trello and Asana, making me a reliable contributor to AI training projects.

Labeling Experience

CVAT

3D LiDAR Annotation for Autonomous Vehicles

CVATCVAT3D Sensor3D SensorBounding BoxBounding BoxSegmentationSegmentation

Worked on a large-scale autonomous vehicle perception project focused on labeling LiDAR point cloud data and images to improve AI-driven navigation. Tasks included: Annotating 3D objects (cars, pedestrians, traffic signs) in point cloud data using cuboids and segmentation. Labeling image datasets with bounding boxes and object classification for AI training. Tracking objects across multiple frames for enhanced real-time decision-making models. Performing quality control checks to maintain 99%+ annotation accuracy. This project played a crucial role in enhancing AI models for self-driving technology by ensuring accurate object detection and classification.

2024

Education

L

Lovely Professional University

Bachelor of Technology (B.Tech) in Computer Science Engineering, Computer Science Engineering

Bachelor of Technology (B.Tech) in Computer Science Engineering
2020 - 2024

Work History

F

Freelance / Self-Employed

AI Data Annotator & Quality Assurance Specialist

Solan
2023 - Present