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I will develop and deploy ml or dl models as web apps or apis
Professional AI Engineer Data Scientist
I'm an AI Engineer with a data science background, specializing in ML deployment, REST APIs, and Power BI dashboards. I transform data into actionable insights through production-grade systems and sca...
About this Gig
I will build and deploy your machine learning models into fully functional web applications or APIs using Streamlit, Flask, or FastAPI.
Whether you already have a trained model or need an end-to-end solution, I can turn your ML project into a production-ready system.
I offer:
- ML web apps (Streamlit / Flask)
- REST APIs for model deployment (FastAPI)
- End-to-end ML pipelines (data preprocessing, training, evaluation, deployment)
- Predictive models, classification, regression, recommendation systems, anomaly detection
- Model integration into interactive dashboards or web apps
Tools I use: Python, Scikit-learn, Pandas, NumPy, TensorFlow/Keras, Streamlit, Flask, FastAPI, Docker (optional)
You will receive:
- Fully working ML application or API
- Clean, well-structured source code
- Model integration and testing
- Basic UI/dashboard
- Documentation and setup guide
I focus on clean, production-ready solutions rather than just notebooks.
Please contact me before ordering to discuss your project requirements so I can deliver exactly what you need.
FAQ
Do I need to have a trained machine learning model?
Not necessarily. I can work with your trained model or help build a complete end-to-end ML solution from scratch.
What do I need to provide to start the project?
You can provide your dataset, model file, project idea, or even just a problem statement. I will guide you if anything is missing.
Which frameworks do you use for deployment?
I mainly use Streamlit, Flask, and FastAPI depending on project requirements. For advanced projects, I can also use Docker.
Can you convert my Jupyter Notebook into a web app?
Yes, I can convert your notebook-based ML project into a fully functional web application or API.
Will my project be deployable online?
Yes, I can help make it deployment-ready (Streamlit Cloud, Heroku, or other platforms depending on your needs).
Can you add a user interface for predictions?
Yes, I can build an interactive UI using Streamlit or a web-based frontend for model interaction.
Do you also handle model training and improvement?
Yes, I can help with data preprocessing, feature engineering, model training, and performance optimization if needed.
Can you integrate APIs or external services?
Yes, I can integrate your ML model with REST APIs and external services if required for your application.
Can you work with big datasets (100K+ rows)?
es, I can work with large datasets, but performance and delivery time may vary depending on complexity and available resources.
What file formats do you support for datasets?
I can work with CSV, Excel, JSON, SQL databases, and other common formats.
