Vedanti Kadu

I am an AUTOSAR Embedded Software Engineer with two years of hands-on experience in embedded systems, ECU software development, and diagnostics. I have developed AUTOSAR SWCs, configured diagnostic stacks, and implemented UDS protocol (ISO 14229) features.

I have practical experience with MCAL configuration, BSW integration, functional safety (ISO 26262) considerations, and ECU-level testing using Vector tools such as CANoe, Candela Studio, DaVinci Developer/Configurator, and CANape. I have used PTC Integrity and DOORs for requirement management and Git/ALM for toolchain tasks.

I contributed to a customer project integrating a DC/DC converter with a 48V battery management system (2022–2025), and published a conference paper at SAE International on a standalone diagnostic extraction tool. I also developed a Python prototype tool for parsing and comparing DEXT diagnostic configuration files.

I hold an MTech in Embedded Control Systems and am currently enrolled in a Postgraduate Program in AI and Machine Learning (University of Texas Austin, 2025). I focus on reliable, standards-compliant embedded software and enjoy solving diagnostic and integration challenges in automotive ECUs.