Srikanth

Key Skills

Software

Label Studio

CVAT

Top Subject Matter

Autonomous Driving

Computer Vision

Autonomous Vehicles

Top Data Types

Image

Text

Document

Top Task Types

Object Detection

Freelancer Overview

Data Annotator I. Core strengths include Label Studio and CVAT. Education includes Bachelor of Technology, PVP Siddhartha Institute of Technology (2022). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Labeling Experience

Data Annotator I

Label StudioImageObject Detection

As a Data Annotator I at Eternal Robotics, I annotated over 90,000 images for object detection and defect segmentation in support of ML model training. I applied detailed annotation guidelines using industry-standard software to ensure high accuracy and consistency. My role included conducting quality checks, identifying errors, and reviewing ML-generated pre-annotations. • Performed image classification and segmentation tasks for accuracy. • Maintained 95%+ annotation accuracy through strict quality checks. • Utilized CVAT and Label Studio as primary annotation tools. • Ensured consistent guideline compliance in all labeling activities.

As a Data Annotator I at Eternal Robotics, I annotated over 90,000 images for object detection and defect segmentation in support of ML model training. I applied detailed annotation guidelines using industry-standard software to ensure high accuracy and consistency. My role included conducting quality checks, identifying errors, and reviewing ML-generated pre-annotations. • Performed image classification and segmentation tasks for accuracy. • Maintained 95%+ annotation accuracy through strict quality checks. • Utilized CVAT and Label Studio as primary annotation tools. • Ensured consistent guideline compliance in all labeling activities.

2025 - Present

Data Annotator

Label StudioImageObject Detection

At Adept Talent Acquisition, I was responsible for annotating over 90,000 data points across 2D images, videos, and LiDAR data for autonomous vehicle development. My work involved precise labeling of vehicles, pedestrians, and road features to enable accurate model training. I contributed directly to the improvement of AV spatial cognition through detailed annotations. • Labeled a wide variety of traffic environment elements. • Supported object localization, distance estimation, and lane understanding models. • Conducted both 2D and 3D sensor data annotation. • Used CVAT and Label Studio for annotation processes.

At Adept Talent Acquisition, I was responsible for annotating over 90,000 data points across 2D images, videos, and LiDAR data for autonomous vehicle development. My work involved precise labeling of vehicles, pedestrians, and road features to enable accurate model training. I contributed directly to the improvement of AV spatial cognition through detailed annotations. • Labeled a wide variety of traffic environment elements. • Supported object localization, distance estimation, and lane understanding models. • Conducted both 2D and 3D sensor data annotation. • Used CVAT and Label Studio for annotation processes.

2023 - 2025

Education

Work History