Shimal Xavier

-Designed and implemented a vision-based in-line quality control (QC) prototype for automated defect detection in alkaline water electrolysis (AWE) cell assembly. -Developed a Python-based image processing pipeline using OpenCV and industrial GigE machine-vision cameras, achieving ~98% defect detection precision. -Integrated the inspection system with a KUKA robotic setup for synchronized image acquisition and motion control in automated assembly.

- Developed standardized documents for variant analysis to assist in determining optimal concepts, improving decision making efficiency. - Facilitated seamless communication between managers and employees by utilizing Teams Planner, enhancing project coordination and task tracking. - Compiled comprehensive lists of engineering open points prior to production releases, ensuring thorough quality control and risk mitigation

•proficient in battery analysis techniques utilizing Vector CANoe and CANape to interpret BMS (Battery Management System) signals • Skilled in HV battery fault detection and diagnostics • Created and standardized failure analysis process flow, including work instructions, test bench, tool setup, and employee training resulting in faster claim resolutions. • Preparation and presentation of analysis reports with customers. • Engage in the design and physical modeling of the battery packs

•Generating curtain wall 3d models along with technical drawings utilizing Autodesk Inventor and AutoCAD with parametric variables •Requirement analysis, developing solutions and process steps •Reduced the error rate to <0.5% by analyzing client requirements and with successful team collaboration.