You will get a custom fine-tuned LLM for your business use case
Project details
I will fine-tune a Large Language Model specifically for your business needs using efficient techniques like LoRA and QLoRA. Whether you need a customer support bot, content generator, code assistant, or domain-specific Q&A system, I deliver a production-ready model.
I handle the entire pipeline: data preparation, model selection, training, evaluation, and deployment. You get clean code, documentation, and an API endpoint ready to integrate.
Models: TinyLlama, Mistral, LLaMA, Phi, Gemma
Tech: Python, PyTorch, Hugging Face, LoRA, FastAPI
I handle the entire pipeline: data preparation, model selection, training, evaluation, and deployment. You get clean code, documentation, and an API endpoint ready to integrate.
Models: TinyLlama, Mistral, LLaMA, Phi, Gemma
Tech: Python, PyTorch, Hugging Face, LoRA, FastAPI
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, NVIDIA AI Platform, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$400
|
Standard
$800
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Frequently asked questions
About Mohammed
AI/ML Engineer
Nanterre, France - 5:18 am local time
𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼:
* LLM & RAG Systems
- Document Q&A pipelines with minimal hallucination
- Text-to-SQL for business analytics
- Email automation using Generative AI
- LLM fine-tuning (LoRA, QLoRA)
* Computer Vision & Document AI
- Document Layout Analysis & OCR pipelines
- Information extraction from research papers
- Custom model training for domain-specific documents
* MLOps & Production
- Clean, tested code (90%+ coverage)
- FastAPI endpoints & Docker deployment
- End-to-end pipeline design
𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸:
Python, PyTorch, HuggingFace, LangChain, Transformers, FastAPI, Docker, PostgreSQL, Databricks, PySpark
𝗠𝗼𝗱𝗲𝗹𝘀:
GPT, Claude, Mistral, Llama, PaddleOCR, EasyOCR, YOLO
𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲:
- Production-ready code with full documentation
- Clear communication and fast delivery
- Experience with real-world business problems
Let's discuss your AI project.
Steps for completing your project
After purchasing the project, send requirements so Mohammed can start the project.
Delivery time starts when Mohammed receives requirements from you.
Mohammed works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze data and define requirements
Review your training data, understand use case, select base model
Prepare data and configure training
Format data, set up training pipeline, configure hyperparameters