I will design a nvidia jetson, computer vision system

M
m_ali_siddiqui
M
m_ali_siddiqui
Ali
design a nvidia jetson, computer vision system
design a nvidia jetson, computer vision system
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design a nvidia jetson, computer vision systemdesign a nvidia jetson, computer vision systemdesign a nvidia jetson, computer vision systemdesign a nvidia jetson, computer vision systemdesign a nvidia jetson, computer vision system

About this gig

Im a Robotics & Computer Vision engineer who turns research code into production-ready perception systems. Ive deployed real-time object detection & tracking pipelines on NVIDIA Jetson devices (model conversion, TensorRT optimization), built SLAM-aware navigation checks, and produced robust 3D reconstructions (COLMAP / SfM).

Whether you need a fast detection model converted to TensorRT, a YOLO+DeepSORT pipeline running on Jetson Nano/Orin, SLAM integration for navigation, or custom dataset training and evaluation I deliver reliable, well-documented code that runs on your device.

  • Model expertise

    • Custom model development
    • Fine-tuning models
    • Generative AI

  • Industry

    • Art & design
    • Audio & video
    • Data analytics
    • Gaming
    • Real estate
    • Sports & fitness
    • Transportation & automotive
    • Travel & tourism

  • Programming language

    • Python
    • C
    • PyTorch
    • Tensorflow

  • Language

    • English
    • Punjabi
    • Urdu

  • Technical expertise

    • Machine learning (Supervised, Unsupervised, Reinforcement)
    • Deep learning (Neural networks, GANs)
    • Natural language processing (NLP)
    • Computer Vision (Object detection, Image recognition)
    • Reinforcement learning (Decision-making systems)
    • Algorithm development and optimization

Get to know Ali

Ali

Computer Vision Engineer, Detection, Tracking, 3D, SLAM, Estimations

5.0(5)
  • FromPakistan
  • Member sinceNov 2019
  • Last delivery6 years

  • Languages

    Urdu, English, Hindi
I build computer vision systems that go from prototype to production and stay accurate when lighting changes, cameras move, or scenes get messy. Recent example: I engineered a full pipeline that automates plumbing/electrical quantity estimation from architectural drawings, replacing a manual click-based estimation process that took 8 hours with an automated system that delivers results in 20 minutes (~24x faster), combining OCR, vector extraction, object detection, and semantic segmentation.

My Portfolio

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