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You will get production-ready ML deployment with FastAPI & Docker

Abubakar S.Status: Offline
Abubakar S. Abubakar S.
5.0
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Abubakar, priced and ready to go.
Abubakar S.Status: Offline
Abubakar S. Abubakar S.
5.0
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Abubakar, priced and ready to go.

Project details

You will get a production-ready ML model deployment using FastAPI and Docker, fully optimized for AWS cloud services. I will containerize your trained model, build scalable API endpoints, and provide deployment instructions for AWS EC2, ECS, or EKS. This ensures your ML solution runs reliably in the cloud, ready for testing, production, or integration with other AWS services. I deliver detailed documentation, well-commented code, and a solution that is secure, maintainable, and easily upgradable. Your model will go from experimentation to cloud-ready deployment with minimal effort.
AI Development Type
Deep Learning, Model Tuning, Software Maintenance
AI Tools
MLflow, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$50
Standard
$100
Advanced
$200
Delivery Time 3 days 5 days 7 days
Number of Revisions
122
AI Model Integration
Detailed Code Comments
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Knowledge Graph
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Model Documentation
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Ontology
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Source Code
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Taxonomy
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Frequently asked questions

5.0
1 review
100% Complete
(1)
1% Complete
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MM

Miranda M.
5.00
Jun 6, 2026
Local LLM Setup - Standard Tier
Abubakar S.Status: Offline

About Abubakar

Abubakar S.Status: Offline
AI Engineer | Generative AI | RAG | API Development | Django FullStack
5.0  (1 review)
Lahore, Pakistan - 11:28 am local time
I build end-to-end AI and backend solutions that deliver measurable business results LLM-powered chatbots, production ML models, and scalable APIs that help startups automate workflows and make faster, smarter decisions.

Services I provide:
• AI chatbots & assistants (RAG-based, LLM-powered)
• Generative AI applications (LangChain, Ollama, CrewAI, Agno)
• Machine learning models (classification, regression, recommendations)
• NLP solutions (sentiment analysis, text classification, document Q&A)
• Backend development (Django, REST APIs)
• Model & AI service deployment (FastAPI + Docker + AWS)

Steps for completing your project

After purchasing the project, send requirements so Abubakar can start the project.

Delivery time starts when Abubakar receives requirements from you.

Abubakar works on your project following the steps below.

Revisions may occur after the delivery date.

Receive Requirements

Client provides trained ML model, sample input data, and API specifications.

Setup AWS Environment

Configure Docker and AWS environment (EC2/ECS/EKS) with all required dependencies.

Review the work, release payment, and leave feedback to Abubakar.