I will train the complex ml and dl algorithms

S
syedafakhraj
S
syedafakhraj
Syeda J
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

I will train AI and deep learning models, build chatbots and object detection systems

Are you looking for a professional AI/ML developer to build, train, and optimize your machine learning or computer vision model?

I can help you develop AI-powered solutions using Python, Deep Learning, Machine Learning, Computer Vision, and NLP tailored to your project requirements.

What I can do for you:

  • Train and fine-tune Machine Learning & Deep Learning models
  • Develop Object Detection algorithms
  • Build Image Classification models
  • Develop Computer Vision applications
  • Implement YOLO-based object detection
  • Train custom models on your dataset
  • Perform data preprocessing, augmentation, and model evaluation
  • Build AI Chatbots and NLP-based applications
  • Develop custom CNN and deep learning architectures
  • Improve model accuracy and reduce overfitting
  • Implement model evaluation using accuracy, precision, recall, F1-score, mAP, confusion matrix, and other metrics
  • Convert trained models into practical AI applications
  • Debug and optimize existing AI/ML projects

Technologies I work with:

Python | PyTorch | TensorFlow | Keras | OpenCV | YOLO | Scikit-learn | MONAI | NumPy | Pandas | MATLAB


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Syeda J

Computer Vision and ML Engineer

  • DaPakistan
  • Membro daago 2026
  • Tempo di risposta medio1 ora
  • Lingue

    Urdu, Inglese
I am a Robotics and Machine Learning/Deep Learning Engineer specializing in intelligent robotics, computer vision, and AI-driven systems. I have extensive experience in developing and training Machine Learning, Deep Learning, and Computer Vision models for object detection, image classification, and robotic applications. I also have hands-on experience with AI-integrated robotics, automation, and Industry 5.0 technologies. I am passionate about developing intelligent solutions that bridge the gap between advanced research and real-world industrial applications.