Koushik Samudrala

Bis 2023, Working Student, EVOMOTIV GmbH

kaiserslautern, Deutschland

Über mich

I am a recent graduate with a Master's degree in Commercial Vehicle Technology, specializing in Driver Assistance Systems with focus on perception-related tasks within deep learning approaches. I have hands-on experience working with Deeplearning models and algorithms, notably in Python, with a proficiency in the PyTorch library. My technical skills extend to C++, Bus systems and MATLAB, gained during my master's studies. I have further enriched my expertise through various specialization courses in deep learning and machine learning on Coursera. Self-driven and proactive work ethic, nurtured during nearly 2.5 years of working experience in India and capable of taking initiative, managing projects independently, and delivering results efficiently. I am excited to embark on a new professional journey in the automotive industry, where I can apply my diverse skill set and passion for driver assistance systems to contribute to the development of safer and more advanced vehicles.

Fähigkeiten und Kenntnisse

MatLab
Simulink
Bus systems
Advanced driver assistance systems
Electromobility
Mechanical Engineering
Engineering
Fahrzeugtechnik
Elektrotechnik
Python
Software Development
C/C++
FlexRay
Machine Learning

Werdegang

Berufserfahrung von Koushik Samudrala

  • 5 Monate, Nov. 2022 - März 2023

    Working Student

    EVOMOTIV GmbH
  • 6 Monate, Mai 2022 - Okt. 2022

    Intern

    EVOMOTIV GmbH

    MONOCULAR DEPTH ESTIMATION

  • 2 Jahre und 11 Monate, Sep. 2017 - Juli 2020

    Engineering Assistant

    AXISCADES Engineering Technologies Ltd

    FLAMMABILITY ANALYST

Ausbildung von Koushik Samudrala

  • 3 Jahre und 3 Monate, Okt. 2020 - Dez. 2023

    commercial vehicle technology

    TU Kaiserslautern

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Telugu

    Muttersprache

Interessen

Photography
Cycling
Cooking
Sports

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