Vadhiraj Shrinivas

Developed and implemented a novel in-situ collision forensics tool with the potential to revolutionise accident scene investigations. The tool leverages a patented optimisation model for efficient data analysis and utilises the Shiny R package to create a user-friendly web application interface.
Investigated pedestrian collision biomechanics, focusing on injury mechanisms, prevention strategies, and impact analysis using advanced computational models and data analysis techniques.
Analyzed and interpreted large, multi-dimensional collision datasets from experiments and simulations, extracting valuable insights to improve pedestrian safety.
Authored and co-authored research papers in peer-reviewed journals and presented research findings at conferences, contributing to advancing knowledge in pedestrian collision biomechanics.

Led airbag ECU calibration projects using CAE and crash data: Managed calibration of pre-crash, airbag deployment, and other safety algorithms for various vehicle models and configurations in MATLAB/Simulink.
Enhanced vehicle safety through data analysis and simulation: Developed AI-powered field event mapping and data quality improvement algorithms. Analysed large datasets from diverse sources to identify safety trends and patterns.
Evaluated safety system effectiveness: Utilized simulation tools to assess the real-world impact of various vehicle safety systems on occupant protection.
Promoted collaboration and knowledge sharing: Coordinated cross-functional projects with stakeholders like OEMs, suppliers, and research institutes.
Streamlined test execution and data quality: Oversaw test execution for calibration purposes, facilitated correlation processes, and conducted field data studies to identify improvement opportunities for restraint systems. Implemented VBA and Python scripts to automate repetitive tasks, improving overall workflow efficiency and data quality.

Industrial Automation & Power Electronics Engineer: Designed and implemented control systems using PLCs and SCADA platforms for various industrial automation projects.
Enhanced Design Efficiency: Automated design tasks using LISP programming in AutoCAD, streamlining the 2D/3D design process.
Quality Assurance Champion: Authored protocols, qualification documents, test plans, and reports to ensure the quality of inverters and variable frequency drives (VFDs).
Collaborative Problem Solver: Actively communicated with project managers and developers, providing feedback and suggestions to optimise processes.
Process Improvement Advocate: Continuously evaluated and improved methods for processes, measurements, documentation, and workflows to enhance efficiency.
Team Leader and Mentor: Provided guidance and support to junior engineers and new hires, fostering their competency and team effectiveness.

Established Programming Fundamentals: Built a solid foundation in programming languages like C, C++, VBA, and SQL through comprehensive training.
Gained Theoretical Knowledge: Acquired a strong understanding of core programming concepts, including data structures, algorithms, object-oriented programming principles, and database management systems.
Demonstrated Practical Skills: Applied newly acquired skills to solve basic programming problems and develop small-scale projects, showcasing a grasp of theoretical concepts.

Solidified Foundational Knowledge of Inverter Manufacturing: Underwent comprehensive training in inverter production processes, covering inward quality control, PCB and mechanical design, wiring harness development, and inverter design principles.
Mastered Core Inverter Engineering Concepts: Acquired a strong understanding of power electronics, control systems, thermal management strategies, and various inverter testing methodologies.
Applied Theoretical Knowledge in Practical Projects: Leveraged acquired skills to design and assemble basic inverter prototypes. Additionally, conducted quality checks and troubleshooting procedures to ensure functionality.