Rahul Shankar Karade

Angestellt, Embedded Software Engineer, asvin GmbH

Stuttgart, Deutschland

Fähigkeiten und Kenntnisse

C
C++
Java
Embedded Software
Scripting
STM32CubeIDE
Internet of Things
FreeRTOS
SystemView
Eclipse
OSGi
Yocto
Cyber Security
Softwareentwicklung
Threat analysis
Risk Assessment
MatLab
Python
Machine learning

Werdegang

Berufserfahrung von Rahul Shankar Karade

  • Bis heute 3 Jahre und 9 Monate, seit Sep. 2020

    Embedded Software Engineer

    asvin GmbH

  • 1 Jahr und 11 Monate, Mai 2018 - März 2020

    PraxisStudent

    Robert Bosch Gmbh

    Creating a demonstrator using an IoT device for Connected Solutions. - Building embedded Linux distribution for IoT devices using yocto. - Java OSGi image and plugins development to run on the demonstrator. - Java serial communication programming, JNI, gpsmon, can-utils - GPS/GNSS and CAN data gathering and communicating the details to the cloud using Restful API.

  • 9 Monate, Dez. 2017 - Aug. 2018

    HiWi Student

    Startup Center Hochschule der Medien

    Worked on the Smart-kitchen Project - The prototype is built using an IoT device (ESP8266) for Weighing Scale. - MQTT connection establishment and communications programming in C++. - Battery charge/discharge implementation using the adafruit circuit board. - Raspberry Pi: system-d files configuration, server setup. - User display web development using HTML and JavaScript.

  • 2 Jahre und 2 Monate, Juli 2015 - Aug. 2017

    Software Engineer

    Societe Generale Global Solution Centre, Bengaluru (India)

    - Software and automation scripts development using Unix scripts, Java, and SQL. - Oracle Messaging Queue connection and FTP creation.

Ausbildung von Rahul Shankar Karade

  • 6 Monate, Sep. 2019 - Feb. 2020

    Automotive Cyber-security

    Master Thesis

    Automotive Cyber-security: A novel grey-box penetration test methodology. - Automotive security standards (SAE-J3061, ISO/SAE-21434, UNECE WP.29 draft), ASPICE. - Threat Analysis and Risk Assessment using Vector COMPASS tool. - HEAVENS and STRIDE methodologies. - Automotive E/E architectures.

  • 2 Jahre und 5 Monate, Okt. 2017 - Feb. 2020

    INFOTECH (Embedded Software Engineering)

    Universität Stuttgart

    - Real-Time Embedded Systems Concepts, Engineering, and Programming (C, C++, FreeRTOS). - Embedded systems modeling, simulation, and specification. - Deep Learning & Matrix Computations. - Machine learning lab project. - Seminar on Hardware Oriented Security.

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Koreanisch

    -

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