I will build and deploy efficient computer vision and yolo models for your project

S
smhm1997
S
smhm1997
M. Hamza Mehdi
build and deploy efficient computer vision and yolo models for your project
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build and deploy efficient computer vision and yolo models for your project
Full Screen
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build and deploy efficient computer vision and yolo models for your projectbuild and deploy efficient computer vision and yolo models for your projectbuild and deploy efficient computer vision and yolo models for your project

About this gig

Need a reliable computer vision model that works in the real world, not just in a notebook? I help you go from raw images to a deployed, efficient model you can plug into your product.

Im a Machine Learning Engineer based in Japan, specializing in computer vision, edge AI, and MLOps. Ive designed lightweight object detection models (YOLO and custom architectures) for real projects (agriculture, robotics, disaster monitoring) and deployed them on NVIDIA Jetson and AWS using Docker and FastAPI.

What I can do for you:

  • Object detection (YOLOv5/v8/v11), segmentation, or classification
  • Data preprocessing, augmentation, and train/validation splits
  • Model optimization for edge (ONNX/TensorRT/quantization)
  • Simple deployment: scripts, FastAPI, or Docker container

You will get:

  • Clean training and inference code (Python)
  • Model weights + config
  • Clear instructions to run and reuse the model
  • Please contact me before ordering so I can review your data and recommend the right package or a custom offer.

  • Model expertise

    • Custom model development
    • Fine-tuning models
    • Generative AI
    • Predicitive analyatics
    • Recommendation systems

  • Industry

    • Art & design
    • Audio & video
    • Data analytics
    • Financial services
    • Gaming
    • Real estate
    • Transportation & automotive

  • Programming language

    • C++
    • JavaScript
    • Python
    • R
    • React
    • PyTorch
    • Tensorflow
    • Keras

  • Language

    • English

  • 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
    • Feature engineering and data processing
    • AI ethics and bias mitigation

Get to know M. Hamza Mehdi

M. Hamza Mehdi

Machine Learning Engineer Computer Vision, Edge AI, MLOps

4.9(5)
  • FromPakistan
  • Member sinceSep 2020
  • Avg. response time1 hour
  • Last delivery3 years

  • Languages

    English, Urdu
Machine Learning Engineer specializing in computer vision, edge AI, and MLOps, with hands-on experience deploying models on NVIDIA Jetson and AWS for real-world agricultural and disaster-intelligence applications. I focus on building efficient models that balance accuracy, latency, and memory for edge devices and production systems. Recent work includes lightweight object detection for tomato disease and stem detection, real-time inference on Jetson Nano, and disaster monitoring models deployed as Dockerized Python services on AWS EC2.

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