
Anish Rao Bhaktharaguttu
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Anish Rao Bhaktharaguttu
Working student in hardware-related software development. Involved in development of Python Scripts for testing various functionalities of the microcontroller like ADC, SPI, CAN, LIN, PWM, Flash Memory and Boot Control. Creation and maintenance of jobs on the JENKINS Server. Regressive testing of JDP and IFX Microcontrollers
- 2 Jahre und 2 Monate, Juli 2015 - Aug. 2017Robert Bosch Engineering and Business Solutions Limited
Software Engineer
Worked on CAN communication and Tester Diagnostics development for a SUV Car project of SsangYong. Complete V-Model software development including Requirement analysis, Design, Implementation and Testing. Developed Tester diagnostics software by employing UDS, KWP Protocol. CAN Development (Communication in Vehicle) - Developed the CAN framework for communication between various ECU in the vehicle. Responsible for Frame Scheduling, Configurations and Message Handling. Experienced with LIN, FlexRay.
Worked for the Japanese Nissan OEM project. Understanding the basics of Automotive Engine System, Embedded system software development, RTOS. Model based software development for the Nissan passenger car project using MATLAB and Simulink. Verification and Validation of the models on the test bench that simulate the real time environment of the car (HIL, MIL).
Ausbildung von Anish Rao Bhaktharaguttu
- 2 Jahre und 2 Monate, Okt. 2017 - Nov. 2019
Information technology
University of Stuttgart
Embedded Systems Engineering, Mobile Computing, Modelling, Simulation and Specification, Industrial Automation Systems, Real-time Concepts for Embedded Systems, Electronic Design Automation, Detection and Pattern Recognition, Advanced Signal Processing and Deep learning
- 4 Jahre und 1 Monat, Sep. 2011 - Sep. 2015
Telecommunications engineering
P.E.S. Institute of Technology, Bangalore South Campus
Microcontrollers, Embedded Systems, Computer Communication Networks, VLSI Circuit Design, Digital Signal Processing, Signals and Systems.
Sprachen
Englisch
Fließend
Deutsch
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