I will build machine learning and deep learning models with mlops
Machine Learning and Python Expert AI Solutions Developer
About this Gig
Need a machine learning expert to build, train, and deploy AI models that work in production?
I build custom machine learning and deep learning solutions from data preprocessing to deployment using industry-standard tools and best practices.
What I offer:
- Machine Learning: Classification, regression, clustering, and predictive analysis using Scikit-learn, Random Forest, SVM, and GridSearchCV tuning.
- Deep Learning: Neural networks with TensorFlow/Keras for complex prediction tasks.
- MLOps & Deployment: Model deployment via Flask/FastAPI, cloud hosting, API integration, and CI/CD pipelines.
- Data Preprocessing: PCA, feature scaling, and encoding for maximum accuracy.
- Documentation: Clear explanation of model logic and performance metrics.
My process: understand your data, engineer features, build and evaluate the model, deploy via API/cloud, deliver full documentation and source code.
Real-world experience includes electricity theft detection and healthcare classification systems combining strong theory with production-focused execution.
Message me before ordering to discuss your project!
#machinelearning #deeplearning #mlops #python #scikitlearn #tensorflow #datascience #predictive
Programming language:
Python
•
SQL
•
MLflow
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
MLflow
My Portfolio
FAQ
What information do you need from me to get started?
I need your dataset (or data description), the problem you want to solve (classification, prediction, etc.), and your desired output format. If you don't have data yet, I can also guide you on collection.
Which programming language and tools do you use?
I primarily use Python with Scikit-learn, TensorFlow/Keras, Pandas, and NumPy. For deployment, I use Flask/FastAPI along with cloud platforms for hosting.
Can you deploy the model so I can use it in my app or website?
Yes! In my Standard and Premium packages, I deploy the model via API (Flask/FastAPI) so it can be integrated directly into your application or website.
Do I get the source code and documentation?
Yes, all packages include the full source code. Documentation explaining the model logic, architecture, and performance metrics is included based on your selected package.
How do you ensure the model performs well on my specific data?
I use proper data preprocessing, feature engineering, and hyperparameter tuning (GridSearchCV) to optimize performance, along with cross-validation to ensure the model generalizes well to new data

