Ing. sai mohanty

Angestellt, Test Lead IIoT & Embedded Systems, Happiest Minds Technologies

Bangalore, Indien

Fähigkeiten und Kenntnisse

Process Automation
Industrial Automation
Distributed Control Systems (DCS)
SCADA
Instrumentation
FMEA
5S
Kaizen
Root Cause Analysis
Software Testing
Black Box Testing
TFS
STLC
Siemens PCS7
Sensor technology
Python
ISTQB Foundation Certification
Robot framework
ISTQB Agile Tester Certification
IoT
Embedded Software
Iot gateway
MQTT
Modbus
Automation Testing
OPC
Microsoft Azure
IEC 61508
Agile Software Development
Jenkins
API testing

Werdegang

Berufserfahrung von sai mohanty

  • Bis heute 4 Jahre und 11 Monate, seit Aug. 2019

    Test Lead IIoT & Embedded Systems

    Happiest Minds Technologies

  • 3 Jahre, Sep. 2016 - Aug. 2019

    Test-Designer

    SIEMENS

    • Working as Engineer-Verification and Validation in PCS7 Library team for DCS system test. • As a team member responsible for design document review and understanding, creating test plans, test case writing, executing test sets in TMS, reporting bugs in TFS for advance process library( Drive, Control, Monitor, Operate family etc.), Basis Library(Offline test of Different modules), Industry Library.

  • 5 Jahre und 2 Monate, Aug. 2011 - Sep. 2016

    Senior Engineer

    Vedanta Limited

    Responsible for installation, commissioning, maintenance of electrical, instrumentation and automation. Good process knowledge of Mining and Metal industries. Logic development for mining and metal industries e.g Met Coke plant, material handling plants. • Good hands on experience in modern plant maintenance tools, quality tools such as 5S and Lean, asset management, ISO standards, material management, logic development using Siemens DCS(PCS7) and SCADA, Drives

Ausbildung von sai mohanty

  • 4 Jahre und 1 Monat, Aug. 2007 - Aug. 2011

    Electrical and Electronic Engineering, ISE

    Biju Patnaik University of Technology

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Hindi

    -

Interessen

Cricket
Data Analysis
Machine learning

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