Ing. HARSHA NARAYANASWAMY
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von HARSHA NARAYANASWAMY
- Current 4 years and 1 month, since May 2022
Technical Team Lead/ Senior Test Manager
Capgemini Engineering Deutschland S.A.S. & Co. KG
Volkswagen China Navigation Systems, Test Automation Topics
- Current 5 years and 8 months, since Oct 2020
Test Manager
Capgemini Engineering for Volkswagen AG
System Testing for Volkswagen MIB3-TI Touareg
- 1 year and 2 months, Aug 2019 - Sep 2020
Test Manager MIB3-OI System Testing Volkswagen/ SEAT/ Skoda for LGE
Altran for LGE/ Volkswagen AG
- 6 months, Feb 2019 - Jul 2019
Functional Owner AM/FM in Radio Tuner Development for Volkswagen MIB3-OI/ MQB
Altran for Volkswagen AG
- 11 months, Mar 2018 - Jan 2019
Test Engineer/ TOV in Radio Tuner Development for Volkswagen MIB3- OI/ MQB/ICAS3
Altran for Volkswagen AG
- 6 months, Jun 2017 - Nov 2017Bosch Rexroth AG
Development of Software Tool for Verification of CAN Communication ( MSc Thesis)
verification of CAN messages transmitted and received by ECU and Analysis of different behavior of Controllers for different CAN Identifiers and Error handling.
Elaboration of the Unit Testing Framework CANTATA and deepening the knowledge in the field of Unit Testing.
- 4 months, Apr 2016 - Jul 2016
Automotive Software Tool Development
Ingenieurgesellschaft Auto und Verkehr(IAV) Automotive Engineering,
Implementation of 2-SENT channels on the existing hardware with the changeable interrupts. The sub-tasks included are receiving data from the CAN bus, changing the look up table values for adaption so as to calibrate the pedal box.
Ausbildung von HARSHA NARAYANASWAMY
- 2 years and 8 months, Apr 2015 - Nov 2017
Automotive Software Engineering
Technische Universität Chemnitz
Design of software for embedded systems, Software Platforms for Automotive Systems, Formal Specification and Verification, Machine Learning, AUTOSAR, Bildverstehen.
- 3 years and 9 months, Sep 2010 - May 2014
Electrical and Electronics Engineering
Visvesvaraya Technological University
Control Systems, Microcontrollers, Artificial Neural Networks, Embedded Systems, Image Proccessing.
Sprachen
English
C1 (Fließend)
German
A1-A2 (Grundkenntnisse)
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