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Shivakumar Mehtre

Shivakumar Mehtre

Application Engineer (Machine Vision & Computer Vision) || Former Project Engineer - Industrial Vision Systems (Image Processing & ML) || CognexVisionPro || OpenCV || Python || C# .NET ||NITK’21

Talent
BengaluruMember since June 20, 2026
C# .NET Framework (Windows Forms)PythonOpenCVYOLOv8UNetOCR SystemsDefect DetectionImage PreprocessingVision Inspection SystemsCognex VisionProValidation
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C# .NET Framework (Windows Forms)PythonOpenCVYOLOv8UNet

About

Computer Vision & Machine Vision Engineer with 3+ years of experience developing and deploying industrial inspection and OCR systems for manufacturing, automation using OpenCV, C#, Python, Cognex, VisionPro and deep learning models. Experienced in real-time image processing, industrial camera integration, PLC communication, OCR optimization, defect detection, and production-level troubleshooting. Skilled in building reliable machine vision applications for quality control, process optimization, and inspection automation in industrial environments.

Experience

Application Engineer – Machine Vision Systems at Liston Technology (2025-11 – Present)

  • Working on Testing and Troubleshooting of industrial machine vision applications using Cognex VisionPro and DataMan for OCR, inspection, and automation systems.

Project Engineer – Computer Vision & Industrial Automation at RedBot Innovations Pvt Ltd (2022-07 – 2025-10)

  • Developed a real-time industrial inspection application using OpenCV and C#.NET Framework (Windows Forms), achieving 95%+ orientation detection accuracy and 98% OCR repeatability in production environments.
  • Improved OCR inspection performance through image preprocessing and ML model optimization, reducing manual verification efforts by 40%.
  • Developed an automated sealant inspection system using deep learning and image processing techniques, reducing inspection errors by 15% and improving inspection results by 30%.
  • Developed a C#-based OCR verification application for production environments, improving readability by 20% and reducing operator workload by 50% through backend automation.
  • Installed, calibrated & validated industrial cameras, PLCs and lighting systems for defect detection, delivering 99% uptime during client acceptance testing.

Education

B.Tech in Mechanical Engineering – NITK Surathkal (2021)

Skills

CognexVisionProOpenCVPythonC# .NETNITK’21

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