Ing. Ramachandran Mahalingam

Bis 2019, SW Developer Adaptiv AUTOSAR, Aptiv
Leonberg, Germany

Fähigkeiten und Kenntnisse

Embedded Software Development
Embedded Linux
automotive
MatLab
Simulink
AUTOSAR
Canoe
Implementation
Software Development
Analysis
C/C++

Werdegang

Berufserfahrung von Ramachandran Mahalingam

  • Current 7 years and 1 month, since May 2019

    SW Analyst and Integrator

    Robert Bosch Engineering and Business Solutions Limited
  • 2 years and 6 months, Dec 2016 - May 2019

    Software Consultant

    ALTEN GmbH

    Working as SW Consultant through ALTEN GMBH -- Mar 2017 - Dec 2018 = Conti temic Mircoelectronic GmbH -- Feb 2018 - April 2019 = APTIV Deutschland GmbH

  • 1 year and 3 months, Feb 2018 - Apr 2019

    SW Developer Adaptiv AUTOSAR

    Aptiv

    - Working as an SW Developer for BMW Customer - Working on Adaptiv Autosar for Autonomous Vehicles. - Working on Computer Vision for Adaptiv Autosar Applications

  • 10 months, Mar 2017 - Dec 2017

    Software Analyst

    Continental AG, Conti Temic microelectronic GmbH

    Working as SW Analyst in ADAS Series Analysis Department. Working on ECU Autosar Platform Developing. Performing SW Analysis on Toyota ECUs.

  • 1 year and 4 months, Aug 2015 - Nov 2016

    EMBEDDED SOFTWARE ENTWICKLER

    Green Digit GmbH

    Worked on few Projects in Electronics Industry . IoT Implementation using CC3200 AutoSAR Self Learning based on DaVinci Deveöpüer

  • 7 months, Nov 2014 - May 2015

    EMBEDDED DEVELOPER

    Germaneers GmbH

    1) Implementation of CAN BUS Messages for ZFAS Data Logger 2)KlickBOX USB Communication

  • 4 months, Oct 2013 - Jan 2014

    Praktikant

    Bürkert Fluid Control Systems

    Implementation of CAN BUS Communication using LPC11C14

  • 3 months, Nov 2011 - Jan 2012

    Bachelor Thesis

    SIEMENS

    Completed my Bachelor Thesis on topic "Improving the efficiency of Solar panel using MPPT Technique"

Ausbildung von Ramachandran Mahalingam

  • 2 years and 1 month, Oct 2012 - Oct 2014

    Electrical engineering

    Hochschule Ravensburg-Weingarten

    Master Thesis in the field of "EMBEDDED SYSTEMS"

Sprachen

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

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