Vedant PratikVP
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Vedant Pratik

@vedantpratik

Aspiring engineer specializing in machine learning and robotics.

Germany
Message

What I'm looking for

I am looking for opportunities that foster innovation and allow me to apply my skills in machine learning and robotics within a collaborative environment.

I am a dedicated and passionate engineering graduate with a focus on machine learning and robotics. Currently pursuing my Master's in Commercial Vehicle Technology at the Technical University of Kaiserslautern, I have developed a strong foundation in autonomous systems, image processing, and software engineering. My academic journey has been complemented by hands-on experience in various projects and internships, where I have honed my skills in data analysis and system design.

During my recent internship at ZF Friedrichshafen, I was involved in testing and validating vehicle safety systems, utilizing real accident data to enhance simulation accuracy. My master thesis focuses on developing a hybrid path planning model for autonomous robots, showcasing my ability to integrate complex algorithms and evaluate their performance. I am eager to contribute my knowledge and skills to innovative projects that push the boundaries of technology.

Experience

Work history, roles, and key accomplishments

RP

Master Thesis in Machine Learning

RPTU

May 2024 - Present (1 year 2 months)

Developed a hybrid path planning model combining Q-Learning with the potential field method. Designed a CNN-based system for robot environment understanding and navigation.

ZF

Internship

ZF Friedrichshafen

Apr 2023 - Present (2 years 3 months)

Tested and validated vehicle safety systems (ADAS) in a simulation environment using real accident data. Performed data analysis using GIDAS and PCM crash databases to support simulation accuracy.

CC

Technical Training

Central Tool Room Training Centre

Jun 2017 - Present (8 years 1 month)

Received technical training focused on industrial robots. Gained experience in KUKA robot programming and sensor integration.

Education

Degrees, certifications, and relevant coursework

T(

Technical University of Kaiserslautern (RPTU)

Master of Science, Commercial Vehicle Technology

2021 - 2025

Focused on autonomous systems, image processing, software engineering, machine learning, and requirement engineering. Achieved a final grade of 2.5.

GK

Government College of Engineering Keonjhar

Bachelor of Technology, Mechanical Engineering

2016 - 2020

Studied applied mathematics, robotics, machine elements design, and product design and manufacturing tools. Graduated with a final grade of 1.6.

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