Bharath Seetharam

AUTOSAR software Development with Vector stack (DaVinci configurator and Developer) , EB stack( EB Tresos studio)

Master Thesis : Design and Implementation of ISO26262 compliant CAN Coder-Decoder Engine. Tasks involved:  Implementation of layer for reception and transmission of CAN messages Timeout, CRC, Alive counter checks to validate the unpacked data from CAN for error reporting to Fault manager based on qualification time and healing time a simple GUI in python for reusing the designed application across the projects Defining test procedure and automating the test for the above application using Tessy

My role as an Intern invlovles following activities  ISO26262 literature study and preparation of coding guidelines based on part 6 and MISRA C  Design (Embedded C) of configurable CAN handler for FuSy

My role as an intern involved following activities • Development and debugging C code on Infenion Aurix TC297 and TC299 platforms • Implementation of task synchronization primitives in C for supporting runnable level parallelization • Configuration of an AUTOSAR basic software stack(arxml) for multi-core target processor using Electrobit tresos studio • Testing of Silexica Automotive tools for customer release

My role as a software engineer involved following activities • Implemented application layer for reception and transmission of CAN messages • Designed and Implemented (Embedded C) fault monitoring (Alive Counter/CRC monitoring) for Safety Critical PDUS • Testing of code using Capl script,Trace32 Debugger • Configuration of Cubas AUTOSAR(3.1.4) CAN comstack using Cubec Tool • Designed algorithm to handle multi-byte messages from video sensor • Design documentation using EA Design

Internship on Substation Automation using SCADA • Data acquisition(Voltage, Current and Temperature) from devices like Circuit Breaker, Switches • Controlling of these devices using microSCADA software via Ethernet

Model Based Software/Real-time software, SOC, VHDL/Digital Systems Design, Safety and Reliability