From data cleaning and model training to fine-tuned LLMs, AI agents and cloud deployment — production-ready machine learning engineered in London for startups, businesses and researchers.
I Will Build Custom ML, NLP and Generative AI Solutions
Data cleaning, visualisation and a trained ML model with full documentation.
- Basic data cleaning and preprocessing
- Basic data visualisation (EDA)
- ML model training (Regression, Classification or Clustering)
- Model documentation
- Research and feature engineering
- Unlimited revisions
Everything in Basic, plus model validation, source code and cloud deployment.
- Everything in Basic tier
- Model validation and testing
- Source code included
- Cloud deployment (AWS / Streamlit / FastAPI / Flask)
- Research, preprocessing, model creation and documentation
- Unlimited revisions
Full-scope AI solution with fine-tuned LLMs, API integration and performance monitoring.
- Everything in Standard tier
- LLM fine-tuning (OpenAI, Llama, Langchain, LangGraph, RAG, LlamaIndex)
- API integration for your application or workflow
- Performance monitoring setup
- AI agents and agentic automation (AutoGen, AWS SageMaker, AWS Bedrock)
- Production-ready backend and cloud deployment
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Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
ML Stack Coverage
Deployment Ready
Delivery Window
Base Entry Point
What You'll Receive
Full Description
If you need a machine learning solution that actually works in production — not just a notebook experiment — you are in the right place.
As a London-based machine learning engineer with 2+ years of real-world experience across ML, NLP, Generative AI, Deep Learning and agentic automation, I build clean, well-commented, production-ready code tailored to your exact requirements. Whether you are a startup that needs a first predictive model, a business owner looking to automate operations with AI agents, or a researcher requiring advanced analytics, this service is built for you.
**What Is Included Across All Tiers**
Every engagement begins with thorough research into your data and objectives, followed by rigorous data preprocessing and feature engineering. I then build and document your model so you understand what you have received and why it works. The entry tier covers core data cleaning, visualisation and ML model training — a solid, documented foundation.
**Core Capabilities**
Custom ML models (Regression, Classification, Clustering), Deep Learning with TensorFlow and PyTorch, Exploratory Data Analysis and data visualisation, end-to-end Python automation, AI agents built with Langchain, LangGraph, AutoGen, OpenAI, Llama, RAG and LlamaIndex, LLM fine-tuning, and backend and cloud deployment via Flask, FastAPI, Streamlit, AWS SageMaker and AWS Bedrock.
**How It Works**
Once your order is placed, share your dataset, project brief and any relevant context via the order chat. I will review and confirm scope before beginning. Throughout the project, all communication stays within the order manager so you always have a clear record. Deliverables are shared as production-ready code files and documentation, with revisions handled promptly.
**The Three Tiers**
The Basic tier is ideal if you need data cleaning, visualisation and a trained ML model — a fast, affordable starting point. The Standard tier adds model validation and testing, source code, and cloud deployment, making it suitable for projects that need a live, verified solution. The Premium tier adds performance monitoring, LLM fine-tuning and API integration for complex, enterprise-grade AI systems that need to be maintained and scaled.
**Why Choose This Service**
2+ years of real-world ML and automation experience, clean and well-commented production-ready code, full data confidentiality, and a 100% satisfaction or money-back policy. Every deliverable is documented so your team can maintain and build on it confidently.
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Compare Packages
| Feature | Basic | Standard | Premium |
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
| Revisions | unlimited | unlimited | 3 |
| Basic data cleaning and preprocessing | ✓ | ✕ | ✕ |
| Basic data visualisation (EDA) | ✓ | ✕ | ✕ |
| ML model training (Regression, Classification or Clustering) | ✓ | ✕ | ✕ |
| Model documentation | ✓ | ✕ | ✕ |
| Research and feature engineering | ✓ | ✕ | ✕ |
| Unlimited revisions | ✓ | ✓ | ✕ |
| Everything in Basic tier | ✕ | ✓ | ✕ |
| Model validation and testing | ✕ | ✓ | ✕ |
| Source code included | ✕ | ✓ | ✕ |
| Cloud deployment (AWS / Streamlit / FastAPI / Flask) | ✕ | ✓ | ✕ |
| Research, preprocessing, model creation and documentation | ✕ | ✓ | ✕ |
| Everything in Standard tier | ✕ | ✕ | ✓ |
| LLM fine-tuning (OpenAI, Llama, Langchain, LangGraph, RAG, LlamaIndex) | ✕ | ✕ | ✓ |
| API integration for your application or workflow | ✕ | ✕ | ✓ |
| Performance monitoring setup | ✕ | ✕ | ✓ |
| AI agents and agentic automation (AutoGen, AWS SageMaker, AWS Bedrock) | ✕ | ✕ | ✓ |
| Production-ready backend and cloud deployment | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build Custom ML, NLP and Generative AI Solutions
Build Custom ML, NLP and Generative AI Solutions
Extra Information
Why Choose Me
Tools I Use
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Frequently Asked Questions
Please share your dataset (or a description of it), a clear brief explaining your goal, and any relevant context such as the industry, existing systems or preferred output format. The more detail you provide, the faster and more accurately I can begin.
Data cleaning and preprocessing are included in every tier. If your data is particularly complex or fragmented, please describe this in your brief so I can confirm scope before starting.
I work with Python, TensorFlow, PyTorch, Scikit-learn, Langchain, LangGraph, AutoGen, OpenAI, Llama, LlamaIndex, RAG, Flask, FastAPI, Streamlit, AWS SageMaker and AWS Bedrock, among others. Tool selection depends on what is most appropriate for your project.
Once a deliverable is submitted, raise any changes via the order chat. The Basic and Standard tiers include unlimited revisions; the Premium tier includes three revision rounds. Additional revision rounds are available as an add-on.
Yes. Data confidentiality is guaranteed. Your data is used solely for the purpose of completing your order and is not shared with any third party.
Cloud deployment means your trained model is hosted and accessible as a running application or endpoint — typically via AWS, FastAPI, Flask or Streamlit — so it can be used in a real environment rather than only on a local machine.
Standard delivers a validated, deployed ML solution with source code. Premium goes further with LLM fine-tuning, API integration into your existing systems, performance monitoring and full agentic AI capabilities — suited to more complex or enterprise-scale requirements.
A 100% satisfaction or money-back policy applies, as stated in the listing. Please communicate any concerns via the order chat during the revision process so they can be resolved promptly.
Customer Reviews
See what our customers say about this Zinn
Nofal once again delivered a great job. He was very helpful and proactive in identifying requirements and how they could be solved with the data available. We will certainly work with Nofal again.
Outstanding experience! The seller delivered a high-quality machine learning model that met all my requirements. Fast turnaround, clean code, and highly professional. Will definitely work with him again!
Fantastic work, I was really happy with the outcome. Highly recommended.
Absolutely exceptional work from Nofal. We provided a complex scope for a foundational microservices project, and he delivered a solution that exceeded our expectations. The code quality is top-tier, with production-grade features like structured JSON logging and resilient connection logic with exponential backoff. The entire system was perfectly containerized with a clean Docker Compose setup and came with excellent documentation. It's rare to find a developer who not only understands the requirements but also implements them using modern best practices. Highly, highly recommend for any serious engineering project.
Nofal went above and beyond to ensure he understood what I needed. He made recommendations and quickly fixed any issues I was having. He got on live Zoom calls with me to share screens, ensuring everything was taken care of to my approval! I would highly recommend him!
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