04Service

Deployment & ML APIs

Move trained machine learning solutions from notebooks into usable applications through model serialization, interfaces, APIs, and deployment workflows.

Turn machine learning solutions into usable applications and API workflows.

PythonJoblibStreamlit

What I Can Do

Practical capabilities for real project requirements.

Model serialization

ML application integration

Streamlit applications

REST API workflows

Prediction endpoints

Git and GitHub workflows

Cloud deployment

How I Work

A clear workflow from problem to usable solution.

Prepare the trained model

Integrate inference logic

Expose the solution through an interface or API

Prepare for deployment

Tools & Technologies

Technologies used across the workflow.

PythonJoblibStreamlitAPIsGitGitHubAWS

Relevant Work

Related projects from my portfolio.

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Generative AI

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A RAG-based agriculture advisor that retrieves relevant knowledge and generates context-aware responses through a Streamlit application.

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