I will build and deploy your machine learning model with mlops

Egypt

I speak English, Arabic, French

Data and AI Engineer

I am a Data Engineer with a strong foundation in building data and AI-driven solutions that turn complex data into actionable insights. I am driven by curiosity and a passion for designing reliable, s...
About this Gig

Do you have data but need a machine learning model that actually works in production not just in a notebook?

I design, train, tune, and deploy machine learning models tailored to your data and business problem, with a focus on accuracy, reliability, and real-world performance.

What I can help with:

  • Classification, prediction, and anomaly detection models
  • Feature engineering and data preprocessing
  • Hyperparameter tuning for optimal model performance
  • Experiment tracking and model versioning with MLflow
  • Model deployment via API (FastAPI) for real-world use
  • Automated monitoring and retraining pipelines for production systems
  • Sentiment analysis and NLP-based classification tasks

Why work with me:

I combine a strong data engineering foundation with hands-on MLOps experience meaning I don't just hand you a model, I help you get it running reliably in production, with proper tracking, monitoring, and retraining in place as your data evolves.

I've built end-to-end MLOps systems covering the full lifecycle: from experiment tracking and validation to deployment and automated drift-based retraining.

Before ordering:

Message me with your dataset, problem type (classification, prediction, etc.),

Domain:

Machine Learning

•

Computer Vision

Expertise:

Classification

•

Churn

•

Clustering

•

Decision trees

Programming language:

Python

•

SQL

•

MLflow

Tools:

Jupyter Notebook

•

OpenCV

•

TensorFlow

•

Excel

•

MLflow

•

Other

Technology:

Python

•

TensorFlow

•

OpenCV

•

Keras

•

scikit-learn

•

MLflow

Models & methods:

Machine Learning

•

Deep learning

•

Neural networks

My Portfolio

Other Data Science & ML Services I Offer