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I will build and deploy your machine learning model as a production ready API
I'm Kiran, a DevOps and MLOps engineer based in the UK with an MSc in Data Science from the University of Bristol.
I spent nearly two years as a DevOps Engineer building CI/CD pipelines, deploying on...
About this Gig
Most ML projects die in a Jupyter notebook. I build models AND ship them.
What you get:
- A trained ML model (classification, regression, or prediction) built with scikit-learn or PyTorch
- - Model explainability with SHAP so you can explain predictions to your team or customers
- - Deployment as a REST API using FastAPI with input validation and auto-generated docs
- - Containerised with Docker so it runs anywhere, consistently
- - Optional: CI/CD pipeline so future updates deploy automatically
Background: MSc Data Science (University of Bristol) plus real DevOps engineering experience deploying production systems on AWS and Azure. I have built end to end pipelines including credit risk scoring, churn prediction, and a RAG document Q&A system.
Send me your dataset or use case and I will tell you honestly whether it is a good fit before you order.
Programming language:
Python
•
R
•
SQL
Frameworks:
Scikit-learn
•
PyTorch
Tools:
Jupyter Notebook
•
MLflow
•
Azure ML Studio
FAQ
Do you need my data to be perfectly clean already?
No. Messy data is normal. Data cleaning and validation is included in every package.
Where do you host the deployed model?
I can deploy to your own AWS or Azure account, or hand over a Docker container you can run anywhere.
