Aadarsh Nigel Pinto

• Managed end-line quality inspection in Automotive Seat assembly; Applied 7 QC Tools across multiple Kaizen activities while supporting Quality Engineers – maintained Production Outflow Quality at 98%. • Conducted Root Cause analysis on Seat Lifter Noise & Defective Head Rest, reducing defect outflow by 70%.

• Built a Simulink Model to compute gear sizing, meshing ratios, and force parameters; Tabulated data into Excel. • Researched automation of gear design workflows using Autodesk Inventor iLogic for tabulated data extraction and rule-based modelling in CAD.

Current research project: Exudate Segmentation in Retinal Fundus Images [Random Forest, SVM, U-NET] Machine Learning classification pipeline for diabetic retinopathy screening; Implemented pixel-level segmentation using Random Forest and SVM, with real-time threshold control; Benchmarked confus

1. Tetris Recreation, with custom designed CAD model and Wood-Crafting Arcade Box. 2. Autonomous Maze-Traversing Robot Car, programmed on Arduino. 3. Python-based Automated UI Characterization Display - Developed using PySide6, Qt Designer — integrated real-time sensor data acquisition an