Ing. HARSHA NARAYANASWAMY
Angestellt, Technical Team Lead/ Test Manager, Expleo Group
Abschluss: Master of Science, Technische Universität Chemnitz
Wolfsburg, Deutschland
Werdegang
Berufserfahrung von HARSHA NARAYANASWAMY
Volkswagen China Navigation Systems, Test Automation Topics
Bis heute 3 Jahre und 8 Monate, seit Okt. 2020
Test Manager
Capgemini Engineering for Volkswagen AG
System Testing for Volkswagen MIB3-TI Touareg
1 Jahr und 2 Monate, Aug. 2019 - Sep. 2020
Test Manager MIB3-OI System Testing Volkswagen/ SEAT/ Skoda for LGE
Altran for LGE/ Volkswagen AG
6 Monate, Feb. 2019 - Juli 2019
Functional Owner AM/FM in Radio Tuner Development for Volkswagen MIB3-OI/ MQB
Altran for Volkswagen AG
11 Monate, März 2018 - Jan. 2019
Test Engineer/ TOV in Radio Tuner Development for Volkswagen MIB3- OI/ MQB/ICAS3
Altran for Volkswagen AG
6 Monate, Juni 2017 - Nov. 2017
Development of Software Tool for Verification of CAN Communication ( MSc Thesis)
Bosch Rexroth AGverification 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 Monate, Apr. 2016 - Juli 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 Jahre und 8 Monate, 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 Jahre und 9 Monate, Sep. 2010 - Mai 2014
Electrical and Electronics Engineering
Visvesvaraya Technological University
Control Systems, Microcontrollers, Artificial Neural Networks, Embedded Systems, Image Proccessing.
Sprachen
Englisch
Fließend
Deutsch
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