Summary
Overview
Work History
Education
Skills
projects
Hobbies and Interests
Languages
Personal Information
Timeline
Generic
DUTPALA SANTHOSH KUMAR

DUTPALA SANTHOSH KUMAR

Hyderabad

Summary

Motivated professional with 3.5 years of experience in data analysis and video annotation. Expertise in AI-driven automotive technologies with a strong focus on detail and accuracy. Proven ability to contribute to team success and drive continuous improvement in processes.

Overview

4
4
years of professional experience

Work History

Process Executive

Randstad Technologies Private Limited (client: nvidia)
Hyderabad
11.2021 - Current
  • Data analysis and creating data for the purpose of validating effective chassis control systems in automated cars and trucks.
  • It deals with finding road signs, lanes, lights, pedestrians, vehicles, and infrastructure in video sequences from a camera mounted on the front of a car.
  • Synchronizing recorded video files to the master database.
  • Supporting team members with issues while labeling video.

Education

B. Tech - CSE

Malla Reddy College of Engineering
01-2018

Intermediate - Board of Intermediate

Sri chaitanya junior college
01.2014

SSC - S.S.C

Vedic vidhalayam High School
01.2012

Skills

  • Video annotation and labeling
  • Data analysis for autonomous vehicles
  • Image recognition
  • Knowledge of SQL
  • Knowledge of Linux

projects

Scene Hazards 

                                                                                      

• Labeled potential driving hazards like construction zones, obstacles, and blind turns in complex road environments.

• Classified objects into subclasses such as Traffic Objects (e.g., cone, pole, barrier, barricade, barrel, triangle) and Hazard Objects (e.g., debris vehicle, debris natural, tire, human, animal).

• Supported detection and classification models with accurate annotation of unclassifiable and grouped hazard types.

• Contributed to enhancing safety algorithms in autonomous driving modules.

                                  

Scene Labelling

                                        

• Labeled obstacles that impact vehicle movement such as parked vehicles, pedestrians, and animals.

• Used predefined categories such as Vehicles (e.g., automobiles, buses, trailers), VRUs (e.g., persons, riders, strollers), Animals (on and off-road), and Protruding Objects (e.g., cargo, open doors).

• Focused on outlining geometric structures and determining the accurate bounding shapes for all detected obstacles.

• Helped in training machine learning models to better adapt to varied driving conditions.

                                        

Wait Light Condition 

 

• Annotated traffic light states (green, yellow, red) and corresponding vehicle behavior in intersection scenarios.

• Evaluated attributes like blinking status, bulb visibility, and active bulb count to enhance signal recognition models.

• Supported datasets that improve decision-making logic in self-driving systems.

Hobbies and Interests

  • Listening Music
  • Playing Cricket
  • Travelling New Places

Languages

  • Telugu
  • English

Personal Information

  • Date of Birth: 12/03/96
  • Gender: male
  • Nationality: Indian
  • Marital Status: single

Timeline

Process Executive

Randstad Technologies Private Limited (client: nvidia)
11.2021 - Current

B. Tech - CSE

Malla Reddy College of Engineering

Intermediate - Board of Intermediate

Sri chaitanya junior college

SSC - S.S.C

Vedic vidhalayam High School
DUTPALA SANTHOSH KUMAR