YASWANTHKUMAR Sirumugai Karunakaran

Engineered a compact PCB integrating SHT30, LMT70, PAR sensors, and dendrometers for precise soil monitoring. Developed a solar-powered system with a supercapacitor and programmed the Apollo3 microcontroller for efficient sensor management and energy optimization. Implemented a routine capturing high-resolution soil data every 15 minutes, utilizing FRAM and enhanced data logging. Set up LoRaWAN for data transmission, enabling real-time monitoring , supporting precision agriculture.

• Automation: Automate testing process with a Robotic Test bench • CAPL Scripting: To interface CANoe with Python for test management • CASL Scripting: To Post Process MF4 Datafiles after measurement. • Can Communication: Usage of CANoe and CANape to communicate with ECU Tools Used: Development: • CANoe / CAPL -> Automated Communication with Test bench Robot • CANape / CASL -> Post Processing MF4 data files using Python Automation • Python -> Automation Script to control CANoe and CANape

Werkstudent: Co-Simulation Engine Development • Containerization: Utilizing Docker to containerize development work packages. • Package Management: Working with Conan packages to manage dependencies. • Compilation and Build: Using MSVC and GCC compilers with CMake for software building. • Debugging: Testing the build Software in a container environment. Tools Used: Development: • Docker -> Linux(Ubuntu) & Windows Containers, Networking Containers • CMake • MSVC & GCC

Developer: Servotwin electrohydraulic steering systems • Worked in Steering Domain as a Base Software Developer for Volvo and Scania OEMs. • Worked on creating a new software base from other stable versions of software for new OEMs & new Projects. • I also worked in automating various test cases using CAPL order which vastly improved the manual testing effort. Tools Used: DOORS, Enterprise Architect(EA), CAN DIVA, Lauterbach, vFlash, Clearcase & ClearQuest, CANalayzer, CANoe, Customer Specific Tools

Project: Testing Automation - Steering ECU & Instrument Cluster Models | Commercial Vehicles CAPL Based Automation: • Developed CAPL Scripts for automating testing based on Bus OFF, Error Frames & Boundary Test Conditions Python Based Automation: • Developed Win32 API based python integration to Vector Tools such as CANoe and CANalyzer to automate Test Case Validation for various Communication protocols such as CAN & Flexray • Introduced Python Based Test Case Generation for Instrument Cluster Models

Graduate Innovation Engineer Trainee: • Deputed as a FULL-TIME Work Student on a Innovative project called Charge as a Service. I was guided to solve this real-world EV charging challenge. CAAS (Charge-As-A-Service): • The main aim of the project is to build an automated EV Charging station which uses CAN Protocol based Communication and Cloud Based Billing system. • Developed Python and C based programs to integrate CAN protocol to a EV charging station and a Demo Charging setup.