About Project

ZF TraXon and TraXon 2 are advanced modular automated manual transmission systems for heavy-duty vehicles, designed to enhance fuel efficiency, performance, and adaptability.  In this project, I developed and tested control software using MATLAB/Simulink, integrated cybersecurity measures with the AUTOSAR Crypto stack, and optimized vehicle communication protocols. The goal is to achieve smooth gear-shifting, robust ECU communication, and compliance with functional safety and cybersecurity standards. 

Role: Senior Engineer, ZF Group, Tech Centre India, Hyderabad, India 

Responsibility

• Worked on different phases of software development as per the ASPICE framework. 

• Worked on the BSW layer for the AUTOSAR classic platform. 

• Configured AUTOSAR-compliant software module for CAN communication protocol (CAN, CanIf, PDUR, COM). 

• Ensured secure and reliable data exchange between different ECUs using various tools from Vector.

• Worked on AUTOSAR crypto stack to strengthen ECU security. 

• Configured the Crypto Stack ( CSM, CryIf, Crypto) using the daVinci configurator. 

• Implemented Encryption, authentication, and cryptographic protocols. 

• Worked on configuring and implementing secure onboard communication (SecOC) and boot. 

• Used tools DaVinci Developer for software integration and CANoe for testing and validating ECU network communication. 

• Ensured compliance with ISO26262 (functional safety) for safety-critical systems. 

• Collaborated with foreign counterparts in Germany and the Czech Republic to understand the requirements and customer needs. 

Role: Engineer, ZF Group, Tech Centre India, Hyderabad, India 

Responsibility

• Developed software for vehicle ECUs using model-based development techniques 

• Worked on the V-model and Agile methodologies of the software development lifecycle. 

• Worked on platform software development of PASS (Platform Automated Shift Systems) to automate gear shifting for manual and automatic transmission systems. 

• Integrated GPS sensor data with topographic conditions to develop control algorithms for Predictive Powertrain Control and Automated Gear Shifting. 

• Designed control algorithms for gear-shifting mechanisms using MATLAB, Simulink, and Stateflow. 

• Implemented control algorithms using C, C++, and Python. 

• Used dSpace TargetLink for auto-code generation for software deployed on embedded systems.

• Conducted MIL/SIL/HIL testing for verification and validation. 

• Developed test cases to test the software and achieve the required coverage level (Decision/Conditional/MCDC).