Jayaram Vignesh Selvakumar

Abschluss: Master of Science, Universität Erlangen-Nürnberg
Nürnberg, Germany

Fähigkeiten und Kenntnisse

LabVIEW-Programmierung
Analog Circuits
C++
Embedded Systems
Sensorik
measurement technology
Network Protocol
Vehicle Electronics

Werdegang

Berufserfahrung von Jayaram Vignesh Selvakumar

  • Current 10 years and 8 months, since Oct 2015

    Master Thesis Student

    Continental AG

    Developement of a measurement adaptor which will be used at Automobile test environment. This task involves development of a hardware and supporting software which run through FPGA.

  • 3 months, Jun 2015 - Aug 2015

    Student

    Continental AG

    Development of a CAN multi packet protocol management software. And the task also involves coordination with testing teams from different offshore locations (Brazil,Romania and Mexico).

  • 6 months, Feb 2012 - Jul 2012

    Senior Test Engineer

    Mind tree Ltd

    Involved in Automobile electronics testing,Esp. Navigation and Multimedia devices.

  • 1 year and 3 months, Nov 2010 - Jan 2012

    Delivery Associate Software Engineer

    Mphasis an HP Company

    Testing of HP hardwares like HP Proliant & Integrity servers, HP Storage Boxes [MSA,EVA, SVSP & XP], HP Smart Array Controllers [SAS & SCSI], FC switches [Brocade & Cisco], FC and iSCSI controllers and supported softwares. • Configuration of FC, iSCSI & SAS protocols. • Testing of High Performance Computing servers (HPC). • Actively involved in Preparation of Test Planning,Test case writing.

Ausbildung von Jayaram Vignesh Selvakumar

  • 2 years and 9 months, Oct 2013 - Jun 2016

    Computational Engineering

    Universität Erlangen-Nürnberg

    Mechatronics Mathematics Computer science

  • 3 years and 9 months, Aug 2006 - Apr 2010

    Electrical and Electronics

    Anna University, Chennai

    Analog Circuits- Power electronics - Micro controllers - Measurement and Instrumentation - Control systems - Power system analysis - Object Oriented Programming - Operating Systems - Data structures

Sprachen

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

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