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

S
smhm1997
S
smhm1997
M. Hamza Mehdi
Sommige informatie wordt in het Engels weergegeven.
build and deploy efficient computer vision and yolo models for your project
Volledig scherm
build and deploy efficient computer vision and yolo models for your project
Volledig scherm
Volledig scherm
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

Over deze dienst

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.

  • Modelexpertise

    • Aangepaste modellen development
    • Modellen finetunen
    • Generatieve AI
    • Voorspelbare analyses
    • Aanbevelingssystemen

  • Branche

    • Kunst en design
    • Audio en video
    • Gegevensanalyse
    • Financiële diensten
    • Gaming
    • Vastgoed
    • Transport en automotive

  • Programmeertaal

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

  • Taal

    • Engels

  • Technische expertise

    • Machine learning (onder toezicht, zonder toezicht, versterking)
    • Deep learning (neurale netwerken, GAN's)
    • Natural language processing (NLP)
    • Computer vision (objectdetectie, beeldherkenning)
    • Versterkend leren (besluitvormingssystemen)
    • Algoritme-ontwikkeling en -optimalisatie
    • Feature engineering en gegevensverwerking
    • AI-ethiek en beperking van vooroordelen

Maak kennis met M. Hamza Mehdi

M. Hamza Mehdi

Machine Learning Engineer Computer Vision, Edge AI, MLOps

4,9(5)
  • Afkomstig uitPakistan
  • Lid sindssep 2020
  • Gem. reactietijd1 uur
  • Laatste levering3 jaar

  • Talen

    Engels, 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.

Mijn portfolio

Gerelateerde tags