You will get a production-ready machine learning model built and deployed
Project details
You will receive a professionally built machine learning solution tailored to your business or research problem. I specialize in designing end-to-end AI systems from data preprocessing and feature engineering to model training, evaluation, and deployment.
Unlike generic freelancers, I focus on production-ready solutions, clean code, reproducibility, and measurable performance metrics. Whether you need a predictive model, NLP system, computer vision model, or a deployed API, the final deliverable will be structured, documented, and ready for real-world use.
I use industry-standard tools such as Python, Scikit-learn, XGBoost, TensorFlow/PyTorch, FastAPI, and Docker to ensure scalability and maintainability.
Every project includes proper validation, performance reporting, and structured code delivery not just a notebook with random outputs.
If you are looking for a reliable AI engineer who understands both modeling and deployment, this project is built for you.
Unlike generic freelancers, I focus on production-ready solutions, clean code, reproducibility, and measurable performance metrics. Whether you need a predictive model, NLP system, computer vision model, or a deployed API, the final deliverable will be structured, documented, and ready for real-world use.
I use industry-standard tools such as Python, Scikit-learn, XGBoost, TensorFlow/PyTorch, FastAPI, and Docker to ensure scalability and maintainability.
Every project includes proper validation, performance reporting, and structured code delivery not just a notebook with random outputs.
If you are looking for a reliable AI engineer who understands both modeling and deployment, this project is built for you.
What's included
| Service Tiers |
Starter
$80
|
Standard
$249
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
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MM
Miranda M.
Jun 6, 2026
Local LLM Setup - Standard Tier
About Abubakar
AI Engineer | Generative AI | RAG | API Development | Django FullStack
Lahore, Pakistan - 3:35 pm local time
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.
Requirement Analysis
Review dataset, define objectives, and clarify expected outputs.
Data Preparation
Clean data, perform preprocessing, feature engineering, and validation split.