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Vladislav Zhuravlev

Vladislav Zhuravlev

AI Data Preparation and Annotation

Germany flagGlen Allen, Germany
$15.00/hrExpertLabel Studio

Key Skills

Software

Label StudioLabel Studio

Top Subject Matter

ADAS/Autonomous Driving
Automotive

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

ADAS and Autonomous Driving AI Data Preparation and Annotation. Brings 15+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include TensorFlow. Education includes Engineer’s Degree, Moscow State Aviation Technological University (1996). AI-training focus includes data types such as Image and labeling workflows including Classification.

ExpertEnglish

Labeling Experience

ADAS and Autonomous Driving AI Data Preparation and Annotation

ImageClassification
Led the development and integration of camera and LiDAR data processing components for ADAS and autonomous driving projects. Implemented data preprocessing and analysis pipelines that enabled machine learning applications for environment perception and sensor fusion. Supported the validation and training of AI models by preparing structured sensor data sets and automating annotation workflows. • Camera and LiDAR sensor recordings annotated for environment understanding • Applied classification and preprocessing for perception systems • Utilized TensorFlow and ROS for data handling and pipeline automation • Collaborated with automotive engineering teams in safety-critical environments

Led the development and integration of camera and LiDAR data processing components for ADAS and autonomous driving projects. Implemented data preprocessing and analysis pipelines that enabled machine learning applications for environment perception and sensor fusion. Supported the validation and training of AI models by preparing structured sensor data sets and automating annotation workflows. • Camera and LiDAR sensor recordings annotated for environment understanding • Applied classification and preprocessing for perception systems • Utilized TensorFlow and ROS for data handling and pipeline automation • Collaborated with automotive engineering teams in safety-critical environments

2018 - 2020

Education

M

Moscow State Aviation Technological University

Engineer’s Degree, Aerospace Engineering

Engineer’s Degree
1996 - 1996

Work History

D

DigiViolet

Principal Software Engineer

Moosburg
2022 - Present
C

Carly Connected Car

Senior Software Engineer

Munich
2020 - 2022