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Deepthi Narayanam

Deepthi Narayanam

Data Analyst - Autonomous Vehicles

INDIA flag
hyderabad, India
$6.00/hrExpertCVATOther

Key Skills

Software

CVATCVAT
Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
VideoVideo

Top Label Types

Bounding Box
Cuboid
Evaluation Rating
Object Detection
Polygon
Text Summarization

Freelancer Overview

With over 3.5 years of experience in data analysis and video annotation for autonomous vehicle technologies, I have developed strong expertise in creating high-quality training data for AI and computer vision applications. My background includes detailed labeling of video, LIDAR 2D and 3D object annotation, and rigorous quality checks to ensure the accuracy of datasets used by leading automotive AI systems. I have worked extensively on projects involving hazard detection, scene labeling, and traffic light annotation, supporting the development and validation of advanced driver-assistance and self-driving modules. I am proficient with tools for image recognition, data synchronization, and database management, and I thrive in team environments where precision and continuous improvement are valued. My passion for technology and commitment to delivering reliable data make me a valuable contributor to any AI training data project.

ExpertEnglishTelugu

Labeling Experience

CVAT

Process Executive, Data Annotation (Randstad Technologies Pvt Ltd for Nvidia)

CVATVideoObject Detection
As a Process Executive for Randstad Technologies working on Nvidia projects, I performed data labeling and annotation tasks on video data for autonomous vehicles. My work included detailed recognition and annotation of road signs, lanes, lights, pedestrians, vehicles, and infrastructure in front-facing vehicle camera videos. I also led efforts in scene hazard detection, wait light condition annotation, and contributed to machine learning model training. • Labeled objects and hazards in video sequences with high precision. • Outlined geometric structures for object bounding shapes and categorized traffic elements. • Annotated traffic light states and intersection scenarios to enhance signal recognition models. • Supported dataset creation for safer and smarter autonomous driving technology.

As a Process Executive for Randstad Technologies working on Nvidia projects, I performed data labeling and annotation tasks on video data for autonomous vehicles. My work included detailed recognition and annotation of road signs, lanes, lights, pedestrians, vehicles, and infrastructure in front-facing vehicle camera videos. I also led efforts in scene hazard detection, wait light condition annotation, and contributed to machine learning model training. • Labeled objects and hazards in video sequences with high precision. • Outlined geometric structures for object bounding shapes and categorized traffic elements. • Annotated traffic light states and intersection scenarios to enhance signal recognition models. • Supported dataset creation for safer and smarter autonomous driving technology.

2022 - 2026

Education

S

Swaranadhra College of Engineering and Technology

Bachelor of Technology, Engineering

Bachelor of Technology
2016 - 2020
A

Aditya Junior College

Intermediate Certificate, Mathematics, Physics, and Chemistry

Intermediate Certificate
2014 - 2016

Work History

R

Randsted pvt.ltd

process support

hyderabad
2022 - 2025