Aadarsh Nigel Pinto

Fähigkeiten und Kenntnisse

Computer Vision
Computer-Aided Design (CAD)
Creo
Critical Thinking
Data Analysis
German as a Foreign Language
Data Entry
Engineering
Google Sheets
Google Slides
English
Machine Learning
GUI Development (PySide6)
Fundraising
Mathematics
Gear design
Hive
Music
IPG CarMaker
Mathworks
Music Composition
MATLAB
IPG Graph
NX
Mechanical Engineering
Kaizen
OpenCV
Medical Imaging
Python (Programming Language)
Laser Cutting
Piano
Microsoft Excel
Python (scikit-learn, OpenCV, NumPy)
LaserCAD
Piano Education
Quality Control
Microsoft Office
Procurement
Microsoft Project
Quality Control Inspection
SOLIDWORKS
Project Management
Quality line leader
MIG Welding
Project Planning
Supervised Learning
Root Cause Analysis
Team Leadership
Prompt Engineering
Scikit-Learn
Sheet Metal
Simulink
Snapmaker Luban

Werdegang

Berufserfahrung von Aadarsh Nigel Pinto

  • 7 Monate, Juli 2024 - Jan. 2025

    QC Inspector - Trainee Line Leader

    Toyota Boshoku Automotive India Pvt Ltd

    • 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%.

  • 3 Monate, März 2024 - Mai 2024

    Engineer Intern

    Ola Electric

    • 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.

Ausbildung von Aadarsh Nigel Pinto

  • Bis heute 5 Monate, März 2026 - Juli 2026

    Master of Engineering

    University of Shanghai for Science and Technology

    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

  • Bis heute 2 Jahre, Sep. 2025 - Aug. 2027

    Master of Engineering - MEng

    Coburg University

    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

  • 3 Jahre und 11 Monate, Okt. 2020 - Aug. 2024

    Bachelor of Engineering - BE

    Malnad College of Engineering

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