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Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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@virasad

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asamasach/README.md

Hi, I'm Mehdi Sadat Hosseini

AI Engineer with 7 years of experience building production computer vision and machine learning systems for industrial applications.

Monitait Vision Engine

I've contributed the development of Monitait.com, an end-to-end SaaS platform for industrial visual inspection. It enables factory operators to upload data, train defect detection models, and deploy real-time inference pipelines to production lines, all without ML expertise.

100+ inspection systems deployed across textile, automotive, glass, packaging, and barcode scanning domains.

Featured Project
Industrial Defect Detection Real-time YOLO-based defect detection with demo videos from live production lines
Live Demo Try it on HuggingFace

More

Interested in seeing more of my work? Contact me directly.

Tech Stack

C++ Python OpenCV PyTorch ONNX Runtime Docker Linux Kafka Jenkins Git

Profiles

Kaggle HuggingFace LinkedIn

Contact

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  1. industrial-defect-detection industrial-defect-detection Public

    Real-time defect detection system for factory production lines using YOLO and ONNX Runtime

  2. SMART-FALCON-AI/monitait_watcher_jet SMART-FALCON-AI/monitait_watcher_jet Public

    All you need to start monitoring industrial applications via WatcherJet

    Python 6

  3. SMART-FALCON-AI/monitait_vision_engine SMART-FALCON-AI/monitait_vision_engine Public

    Industrial vision inspection and quality control platform designed for manufacturing environments. It delivers real-time defect detection using AI models, allowing factories to identify anomalies a…

    Python