Highly competent and results-driven professional with 13 years of extensive experience in the automotive domain. Specializes in requirements gathering, design, development, integration, testing, validation, and the delivery of Software-in-the-Loop (SIL) framework tools. As the Lead Technical Product Owner at Continental AG, successfully led a cross-functional team of 8-10 members across multiple locations, focusing on the innovative development and delivery of the Open Loop SIL Framework for Automated Parking projects. Substantial knowledge in Driver Assistance Systems and ADAS Applications, including Radar, Camera, and USS Systems. Committed innovator in delivering exceptional results within the automotive industry.
Automated Parking (Cameras and USS):
ConTest Framework and RTA Tools
Logic Model SIL Development (BMW)
Visualization and Measurement (ADAS):
ADTF Tools and SIL:
Bangalore Metro Cab Simulator:
Certified Safe60: Agile methodology, Agile frameworks, User story creation,Story planning, Product planning, Product backlog management, Stakeholder relationship management,Feature prioritization
Programming Languages: C, C, Qt, QML, QWebkit, Qwt, python, CMake, bazal, Jenkins
Bash Automation
Development Tools: Qt (Desktop 54), Visual studio, vscode, ADTF 213, Mat lab, FMI, FMU, OSI, Ecal
Operating Systems: Windows 10, Ubuntu 184
Editors: Qt Creator, CLion, PyCharm, Visual Studio 2017, Xilinx SDK
Configuration Tool: Doors, IBM Jazz, Git, Confluence, Jira, docker, GitHub
Protocols: USB (Virtual Comport), RS232, Ethernet, SPI
Cloud: AWS
Product Owner
Lead Technical Product Owner – Open Loop SIL for Automated Parking (USS and Cameras)
• Led a cross-functional team of 8–10 members across multiple locations to develop and deliver the Open Loop SIL Framework for Automated Parking (USS and Cameras) projects.
• Managed projects for clients like TATA and NISSAN, collaborating with internal stakeholders on algorithm development, performance improvements, bug fixes, and KPI generation for software deployment to ECUs for SOP.
• Aligned PI Planning efforts for Automated Parking (USS and Cameras) with various teams, defining and refining SIL requirements.
• Delivered the NEXT Open Loop SIL Framework on cloud platforms (AWS) and high-performance machines handling large datasets.
• Educated project teams on the benefits of the NEXT Open Loop SIL Framework for algorithm development, performance enhancements, and KPI generation.
• Coordinated backend implementation of the NEXT SIL Framework based on project-specific requirements.
• Established workflows and processes for Parking SIL boards to streamline operations.
• Collaborated with leadership and architects to define features, stories, and timelines for a 10-month velocity stretch assignment with international teams for on-demand features (ODF).
• Created and prioritized features and stories in alignment with NEXT SIL and Parking Project goals and deadlines.
• Partnered with international and vehicle teams to ensure high-quality recordings for SIL execution.
• Experience in Simulation SIL execution on cloud platforms (AWS) and HPC workstations, From FOT to KPIs for ADAS Parking applications.
Technical Expertise
• Developed tools to record, analyze, and visualize Radar, Ultrasonic, and Camera data from vehicles.
• Integrated tools into ECU software and simulation environments using C, C++, Qt, Python, ADTF, OSI, ROS, CANoe, Lauterbach, and AUTOSAR (RTA, RTE, RTOS).
• Skilled in configuration tools such as DOORS, Git, GitHub, Jira, Confluence, and IBM Jazz.
• Experience in build tools like CMake, MinGW, MSBuild, and automating CI/CD in Jenkins pipeline and uploading the SW SIL artifacts