You will get a fine-tuned and optimize Large language model (LLM) for your business

Project details
Empower your business with a customized AI brain.
Most AI models are too generic ; they “kind of” understand your domain but never quite nail it. That’s where I come in. I’ll fine-tune and optimize a LLM to fully understand your business language, tone, and data. Whether you’re in law, finance, HR, or e-commerce, I’ll help your AI move from “general knowledge” to domain expertise.
💡 What You’ll Get depending on the package:
A fine-tuned or domain-optimized model (GPT, LLaMA, Mistral,etc.)
Cleaned and preprocessed data ready for AI training
Model evaluation, validation, and prompt optimization
Deployment support for real-world usage (API/app integration)
Clear documentation of your custom AI pipeline
🔥 Why Me:
I’m Habeeb, an AI & NLP Engineer (MSc in Data Science & AI ,France) with real-world experience fine-tuning and deploying LLMs for startups+ research labs in France and the Netherlands. My work focuses on making AI truly understand not just respond.
I deliver a fine-tuned model+ a system that learns, adapts, and speaks your business’s language; turning your data into an asset, not just storage. Let’s transform your domain knowledge into a smart, specialized AI engine.
Most AI models are too generic ; they “kind of” understand your domain but never quite nail it. That’s where I come in. I’ll fine-tune and optimize a LLM to fully understand your business language, tone, and data. Whether you’re in law, finance, HR, or e-commerce, I’ll help your AI move from “general knowledge” to domain expertise.
💡 What You’ll Get depending on the package:
A fine-tuned or domain-optimized model (GPT, LLaMA, Mistral,etc.)
Cleaned and preprocessed data ready for AI training
Model evaluation, validation, and prompt optimization
Deployment support for real-world usage (API/app integration)
Clear documentation of your custom AI pipeline
🔥 Why Me:
I’m Habeeb, an AI & NLP Engineer (MSc in Data Science & AI ,France) with real-world experience fine-tuning and deploying LLMs for startups+ research labs in France and the Netherlands. My work focuses on making AI truly understand not just respond.
I deliver a fine-tuned model+ a system that learns, adapts, and speaks your business’s language; turning your data into an asset, not just storage. Let’s transform your domain knowledge into a smart, specialized AI engine.
AI Algorithms
Deep Belief Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Multilayer Perceptron, Multimodal Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Copy.ai, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, LaMDA, LLaMAWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | - | ||
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$250 - $1,000Frequently asked questions
3 reviews
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OA
Omar A.
Jan 9, 2026
NLP/Text Processing Tutor Needed for University of Sheffield Student
MB
Marzieh B.
Dec 15, 2025
Explain LLMs to someone who knows some ML
KS
Kenisha S.
Nov 21, 2025
Malicious URL Detection Deep Learning Project
Habeeb is the best AI engineer and freelancer I've worked with on Upwork. I came to him with a broken malicious URL detection project and felt hopeless about fixing it. He immediately spotted critical problems in my data acquisition and preprocessing pipeline, including data leakage and unbalanced splits, and explained the issues in a way I understood for the first time.
He helped me rebuild a clean and robust pipeline, introduced me to simple but powerful tools like StratifiedShuffleSplit, and walked me through fixing my Bi-LSTM model until it ran without errors and achieved over 90 percent test accuracy.
Beyond the code, Habeeb is patient, professional, personable, and genuinely gifted at explaining deep learning concepts and code. My PhD professor never articulated either as clearly as he did. If you need help with PyTorch, deep learning, or NLP projects, you won't regret working with Habeeb. He's brilliant, extraordinarily capable, and brings both industry experience and academic insight to anchor your vision in theory and practice.
He helped me rebuild a clean and robust pipeline, introduced me to simple but powerful tools like StratifiedShuffleSplit, and walked me through fixing my Bi-LSTM model until it ran without errors and achieved over 90 percent test accuracy.
Beyond the code, Habeeb is patient, professional, personable, and genuinely gifted at explaining deep learning concepts and code. My PhD professor never articulated either as clearly as he did. If you need help with PyTorch, deep learning, or NLP projects, you won't regret working with Habeeb. He's brilliant, extraordinarily capable, and brings both industry experience and academic insight to anchor your vision in theory and practice.
About Habeeb
AI & NLP Engineer | LLMs, Chatbots & Prompt Engineering Expert
100%
Job Success
Valbonne, France - 10:20 am local time
I’ve built LLM applications for EdTech, healthcare, HR and analytics startups across France, Netherlands and Germany. One client described me as “the best AI engineer I’ve worked with on Upwork” after I rebuilt their deep learning pipeline, fixed data leakage and pushed test accuracy beyond 90 percent.
How I can help you:
• Custom LLM assistants for your domain
• Retrieval Augmented Generation (RAG) systems using your internal documents
• Document Q&A pipelines for PDFs, reports, multilingual text and structured outputs
• Chatbots for customer support, HR, education or internal workflows
• Prompt engineering and evaluation frameworks for consistent results
• FastAPI based backends, secure API deployment, and lightweight local LLM setups
• Multi agent workflows, vector databases and orchestration with LangChain and LangGraph
Tech I work with:
Python, LangChain, LangGraph, HuggingFace, OpenAI API, FastAPI, FAISS, Chroma, PyTorch, TensorFlow, Google Cloud, Vertex AI, DeepL, SQLAlchemy
Some results I’ve delivered:
• Built a RAG system for medical text extraction that improved retrieval accuracy by 40 percent
• Developed a multilingual document Q&A bot with memory and structured outputs adopted by analysts
• Created an HR assistant with prompt versioning and evaluation tools that reduced response time 60 percent
• Delivered AI assistants for educators that automate content review and student response analysis
Why clients work with me:
• Clean, documented, production ready engineering
• Clear communication with both technical and non technical teams
• Realistic timelines and solutions grounded in practical deployment
• Experience in healthcare, EdTech, HR and enterprise document
Let’s get started:
Share your problem and a sample of your data. I’ll map out a simple action plan, suggested architecture and timeline so you know exactly how we’ll approach it.
Keywords: LLM, NLP, RAG, Chatbot, Document AI, AI Automation, LangChain, LangGraph, Vector Database, Custom AI Assistant, Python, FastAPI, OpenAI.
Steps for completing your project
After purchasing the project, send requirements so Habeeb can start the project.
Delivery time starts when Habeeb receives requirements from you.
Habeeb works on your project following the steps below.
Revisions may occur after the delivery date.
Data & Objective Review
We’ll define what your LLM needs to learn and review your dataset for domain coverage.
Data Preprocessing & Cleaning
Text normalization, tokenization, and preparation for model training.