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At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

ML Stack Coverage

LangChain, PyTorch, TensorFlow, AWS
Covers a broad range of ML and Gen AI frameworks including LangChain, LangGraph, AutoGen, OpenAI, LLaMA, RAG, and cloud platforms like AWS SageMaker and Bedrock.

Deployment Ready

Available from Boost tier ($340+)
Cloud deployment, source code delivery, and API integration are available on upgraded tiers, making this suitable for projects that need production-ready outputs beyond prototyping.

Delivery Window

7–14 days depending on tier
Basic tier delivers in 7 days with unlimited revisions. Premium tier extends to 14 days and adds fine-tuning, performance monitoring, and API integration — no revisions included at that level.

Base Entry Point

Data cleaning, visualisation & ML training
The Basic package focuses on foundational ML tasks — data preprocessing, basic model training, and documentation — making it a practical starting point for early-stage or exploratory projects.

Full Description

Are you looking to unlock the power of ML, Gen-AI, Data Science, Deep Learning, NLP and Agentic AI for your business or project? You're in the right place.

I'm a machine learning engineer based in London, England with strong expertise in data preprocessing, model building, Gen AI, Agentic AI, and automation. Whether you're a startup needing predictive models, a business owner aiming to automate operations, or a researcher looking for advanced analytics, I'm here to help.

What I Offer:

  • Custom Machine Learning Models (Regression, Classification, Clustering)
  • Fine-tuning LLM models using langchain and custom development
  • Deep Learning Projects using TensorFlow or PyTorch
  • Data Cleaning, Preprocessing, and Feature Engineering
  • Exploratory Data Analysis (EDA) and Data Visualisation
  • AI Agents and AI models using (Langchain, Lang-graph, AutoGen, OpenAI, llama, RAG, llamaindex, AWS sagemaker, AWS bedrock)
  • End-to-End Automation using Python
  • Model Deployment and backend app (Flask, Fast API, Streamlit, AWS)

Why Work With Zinn Digital ™?

  • 2+ years of real-world experience in ML & automation
  • Clean, well-commented, and production-ready code
  • Data confidentiality is guaranteed
  • 100% satisfaction or money-back policy

This Zinn Will Include (Basic)

Basic Data Cleaning,

Basic Data Visualization,

Basic ML model training

Delivery: 7 days

Revisions: Unlimited

Includes:

• Research
• Data preprocessing
• Model creation
• Model documentation


Upgrade Options

Choose an upgrade addon to get more features:

FeatureBasicBoost UpgradePremium Upgrade
Delivery7 days10 days14 days
RevisionsUnlimitedUnlimitedNone
Research
Data preprocessing
Model creation
Model documentation
Model validation/testing
Cloud deployment
Include source code
Performance monitoring
Fine tuning
API integration

Zinner Quality Guarantee

Vetted Professional
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Quality Work Guaranteed
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Secure Payment
Your payment is protected until you approve the delivered work.

Extra Information

Chat With Us

Chat On Telegram:https://t.me/ZinnDigital

Customer Reviews

See what our customers say about this Zinn

5.0
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Nofal once again delivered a great job. He was very helpful and proactive in identifiying requirements and how it 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 beyone 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 so he ensured everything was taken care of to my approval! I would highly recommend him!

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