I will build and deploy machine learning and ai models for you

Hi, I'm Abdullah an AI/ML developer specializing in building and deploying machine learning and deep learning models.

I have hands-on experience building real-world AI projects including:

Image classification models (CNN, MobileNetV2, EfficientNetB0, ResNet18) with 95%+ accuracy

Medical diagnostics models using SVM, Random Forest, and XGBoost

Full deployment pipelines using Streamlit, Gradio, and Hugging Face Spaces

Clean, documented, production-ready code

Some of my recent work:

- Brain tumor detection classifier (ResNet18/PyTorch)

- Lung cancer histopathology classifier (99.73% accuracy)

- Garbage/waste classification system (96%+ accuracy, 12 categories)

- Clinical diagnostics app using classic ML models (SVM, Random Forest, XGBoost)

I train models in Google Colab, follow a strict 95%+ accuracy standard before delivery, and deploy every project with a working, testable web app not just code.

Whether you need a model built from scratch, an existing dataset trained and evaluated, or a full solution deployed and ready to demo, I'll deliver clean work with clear communication.

Let's build something great together!