You will get build deep learning models and machine learning models.
Project details
You will get deep learning models or machine learning models implemented on your dataset. I can also visualize it or provide you with analysis of the dataset and results can also be stored. Also, The accuracy can also be known.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, Deeplearning4j, GitHub Copilot, Keras, MATLAB, MLflow, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Scrapy, SPSS, SQL, TensorFlow, Weka, Word2vecWhat's included
| Service Tiers |
Starter
$50
|
Standard
$70
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 4 | 6 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 3 | 3 |
Number of Graphs/Charts | 3 | 3 | 3 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code |
Frequently asked questions
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MG
Mansouri G.
May 30, 2026
Senior AI Agent & Full Stack Automation
Engineer Needed (LangChain + n8n +
RAG)
“Mujtaba did an outstanding job building our AI automation system and web application. He has strong expertise in n8n, LangChain, APIs, and AI workflows. Communication was smooth, and he solved complex problems quickly and professionally. The final system was clean, scalable, and exceeded expectations. Highly recommended for AI agents, automation, and full-stack development projects.”
DP
Daniil P.
Oct 19, 2024
Repeat the point cloud stud in Python
Thank you Mujtaba
About Mujtaba
Data Engineer | AI/ML & LLM Developer | Full Stack Web Developer
50%
Job Success
Lahore, Pakistan - 7:55 pm local time
I design and build data engineering pipelines, AI/ML solutions, and full stack applications that are clean, scalable, and ready for real users. From data ingestion and ETL pipelines to machine learning models, LLM integrations, and modern web apps, I handle the entire lifecycle, so you don’t need 3 different freelancers.
🚀 What I Can Do for You:
- Design and build data pipelines, ETL/ELT workflows, and data warehouses
- Develop and deploy machine learning models, NLP systems, computer vision solutions, and AI pipelines
- Build high-performance backend systems using Django, FastAPI, Node.js, and Express
- Create modern, responsive frontends with React.js, Next.js, TypeScript, and Tailwind CSS
- Integrate LLMs and AI tools (OpenAI, GPT, LlamaIndex, Hugging Face) into real-world applications
- Perform data analysis, feature engineering, and large-scale data processing using Pandas, NumPy, PySpark
- Design RESTful APIs, microservices, and scalable database architectures
🛠️ Tech Stack & Tools
- Languages: Python, JavaScript, TypeScript, SQL
- Frontend: React.js, Next.js, HTML5, CSS3, Tailwind CSS, Bootstrap
- Backend: Django, FastAPI, Node.js, Express.js
- Databases & Warehousing: PostgreSQL, MySQL, MongoDB, SQL-based data warehouses
- Data Engineering: ETL pipelines, data modeling, PySpark, analytics workflows
- AI/ML & LLMs: Scikit-learn, PyTorch, Hugging Face, OpenAI, LlamaIndex, NLP
- Dev & Ops: Git, GitHub, Postman, VS Code
- Deployment: Vercel, Netlify, Render, Heroku, Railway
🌟 Why Clients Choose Me
- Strong expertise in Data Engineering + AI/ML + Full Stack Development
- Deep understanding of data pipelines, model deployment, and production systems
- Clean, scalable, and maintainable production-grade code
- Clear communication, fast delivery, and reliable collaboration
- Focused on business impact, performance, and long-term scalability
If you’re looking for a developer who can own the entire data-to-deployment lifecycle, I’d love to help.
Let’s build your AI-powered, data-driven product - efficiently, professionally, and with results that matter.
Steps for completing your project
After purchasing the project, send requirements so Mujtaba can start the project.
Delivery time starts when Mujtaba receives requirements from you.
Mujtaba works on your project following the steps below.
Revisions may occur after the delivery date.
Analyzing and Cleaning
I will look at the dataset and clean it