You will get a custom LLM fine-tuning from your data to a production-ready model

Maxence P.Status: Offline
Maxence P.
Rising Talent

Let a pro handle the details

Buy Generative AI services from Maxence, priced and ready to go.
Maxence P.Status: Offline
Maxence P.
Rising Talent

Let a pro handle the details

Buy Generative AI services from Maxence, priced and ready to go.

Project details

9+ years shipping production ML systems. I fine-tune LLMs on your data end to end — from data audit to a production-ready model with proper evaluation. You get full experiment tracking, an error analysis report, and model weights in your preferred format.
AI Algorithms
Large Language Model
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Code, Conversational AI, Machine Translation, Natural Language Generation, Synthetic Data Generation, Text Recognition
AI Development Language
Python
AI Models
ChatGPT, LLaMA
What's included
Service Tiers Starter
$5,500
Standard
$11,000
Advanced
$16,500
Delivery Time 14 days 21 days 28 days
Number of Revisions
123
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

Frequently asked questions

Maxence P.Status: Offline

About Maxence

Maxence P.Status: Offline
Senior AI/ML Engineer | LLM, RAG, Agents
Paris, France - 12:22 pm local time
I build production-grade AI systems that go from research prototype to deployed product, fast.

9+ years turning complex ML research into shipped products. Real systems running in production.

Steps for completing your project

After purchasing the project, send requirements so Maxence can start the project.

Delivery time starts when Maxence receives requirements from you.

Maxence works on your project following the steps below.

Revisions may occur after the delivery date.

Data audit & training plan

I review your dataset quality, select the base model, define eval metrics, and deliver a training plan.

Fine-tuning & iteration

I train the model, iterate on hyperparameters, and compare runs with full experiment tracking (W&B/MLflow).

Review the work, release payment, and leave feedback to Maxence.