Nikhil Bharadwaj Vydam Suresh

• Integrated SW updates for prototype testing with a focus on SW optimization and control device parameterization. • Conducted initial error analysis in coordination with the development team to verify functionality. • Tools Used: EXAM Automation, CANoe, ODIS.

• Integrated Application/Testing Results: Proficiently integrated application and testing results into Daimer Project software for both passenger cars (PKW) and commercial vehicles (LKW). • Efficient Project Management: Demonstrated excellent organizational skills by managing ticket systems, task planning, and delivering software releases to customers. • Tools Proficiency: Utilized Smart GIT, SharCC PMA, Jenkins, Bit Bucket, and Jira.

Test Implementation for DASy (Driver assistance system controller) for Radar in Audi/VW Project. Simulating Automated test scripts in CLARA (Closed loop automation real time test environment). Operated CLARA, Programmed in Python, Visual Studio, IBM DOORS, GIT, Bit Bucket, Jira, Linux, CANape

Field Testing Expertise: Conducted rigorous field testing of the Park Assist system for Volkswagen Group (MEB, MQB) vehicles. • Conducted automated park assist testing at Daimler AG's Vehicle Test center in Immendingen. • Tool Proficiency: Utilized Vector CANape & CANoe, MKS/PTC Integrity, ADTF, IBM RQM, ALM, ODIS and Jira.

• Functional Testing: Ensured precise software functionality of Electronic Control Units (ECUs) by developing functional tests, assessing driving behavior, and checking IO (Input/Output) operations. • ECU Testing: Conducted in-depth testing of ECUs, including electrical operation assessments and fault stimulation. • Tool Proficiency: Operated Lab Car, ECU Test, INCA, MDA, DiagRA, Expt. Environment, SVN, CANalyzer, and Jira.

• Improved Parking assistance systems and KPI calculation by simulating Software algorithm. • Managed labelling and measurement of objects from Ultrasonic sensor data. • Functioned ADTF Replay, PTC Integrity, MATLAB, VM Ware, and Jenkins.

Analyzed a Prototype design of Mid-Range LIDAR for short distance automotive applications in Laser lab for "Proof of Concept". Enhanced productivity by utilizing C Programming, Atmel Studio.

Analyzed semiconductor assembly subcon yield data and developed a tool chain analysis - Pilot Project by operating engineering data analysis (EDA) tool, C++ Programming.

Advanced driver assistance system, Automotive electronic systems, Communication buses and Safety systems.

Automotive Sensors , Embedded systems, Vehicular networks and Real time operating system.

Analog and Digital Electronics, Microcontrollers, Hardware Description Language (HDL), Linear IC’s, Power Electronics, Digital Signal processing, Instrumentation, Communication.