Freelancer profile translated to English.

Description

Passionate Data Scientist and AI Engineer, I leverage my advanced expertise in generative AI, MLOps, and Data Science for your projects. With a PhD and several years of experience, I assist you in transforming raw data into intelligent, robust, and high-impact business solutions.

Looking to optimize your operations, reduce costs, or innovate? I can provide concrete help. For example, I have developed and deployed predictive maintenance models to anticipate failures in complex industrial systems, and designed HR recruitment applications based on language models to streamline selection processes.

My approach covers the entire AI project lifecycle. I handle the implementation of automated data pipelines (on AWS or Dataiku, for example), the development and optimization of Machine Learning models (Deep Learning, LLMs, anomaly detection), up to production deployment through full-stack solutions (FastAPI, React, Docker).

What sets me apart is my ability to manage complex projects end-to-end, ensuring high-performing, scalable solutions that generate measurable ROI. Entrust me with your challenges to build tailor-made AI solutions together that precisely meet your strategic needs.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Montpellier (up to 50km), Paris (up to 30km)

Flint
Data Scientist AI Engineer
May 2022 - Today (4 years and 1 month)
Montpellier, France
Expert Data Science & Artificial Intelligence

Specialist in data science and AI applications, I develop innovative and impactful solutions using my advanced technical skills.

Key Projects

🔧 Studi - MLOps Pipeline for Candidate Scoring
Complete automation with Apache Airflow & Docker, BigQuery storage, and dbt transformation. LightGBM predictive model integrating NLP semantic analysis (Hugging Face) and geocoding-based mobility scoring to optimize recruitment.

🔧 BloomFlow - Artificial Intelligence API
Development of a FastAPI API connecting services to LLMs via AWS Bedrock. Intelligent text/image processing with S3 storage and JSON-Pydantic conversion to structure language model responses.

🔧 SLB (Schlumberger) - Predictive Maintenance
2+ years on Dataiku workflows in production. Design of optimized algorithms and supervision of deployment in complex industrial environments.

👥 Flint - Generative AI HR Applications
Python solutions (FastAPI/React) using LLMs to optimize recruitment: identifying ideal candidates and generating personalized interview questions. RAG, and creation of a conversational agent with Langchain. MCP server for various applications.

Technical Expertise

Dataiku workflows and advanced algorithms
Generative AI and language models (LLM)
Technical stack: Python, FastAPI, React
MLOps and production deployment
DevOps and data engineering

📈 Passionate about AI innovation, always ready to take on new technological challenges.
Python MLOps Google cloud Machine learning LLM
AMAYAS Consulting
Data Scientist
March 2019 - May 2022 (3 years and 2 months)
Île-de-France, France
💼 Assignments at Veolia
At Veolia, I had the opportunity to work on innovative and high-impact projects, combining artificial intelligence and cloud technologies, including:

🔍 Predictive Maintenance

Conducting statistical studies and machine learning analyses to anticipate the maintenance of nanofiltration and reverse osmosis membranes.
Applications in desalination and sulfate filtration projects.
⚙️ Industrialization on AWS

Deployment of robust, long-term solutions with continuous integration and delivery (CI/CD) tools: AWS Step Functions, AWS Lambda, AWS SageMaker, Glue, DynamoDB, etc.
📈 Advanced Prediction and Analysis

Development of prediction algorithms based on Deep Learning to estimate turbidity in water treatment plants.
Production deployment of pre-processing and prediction workflows via Amazon AWS.
🎥 Image Recognition

Development of machine learning models (Deep Learning) to analyze flocculation phenomena using images.
💡 Acquired Skills

Expertise in machine learning algorithms and Deep Learning.
Mastery of MLOps workflows for industrialization and cloud deployment (AWS).
MLOps Machine learning Python Amazon Web Services
DCbrain
Data Scientist
July 2018 - February 2019 (7 months)
Paris, France
💼 Projects with Daher: Machine Learning & Optimization
As part of projects with the company Daher, I explored and applied various advanced techniques in machine learning and optimization to solve complex logistics problems, including:

🤖 Reinforcement Learning

Implementation of reinforcement learning approaches, in collaboration with OpenAI, to optimize logistics and resource management processes.
🔍 Anomaly Detection

Application of advanced methods for anomaly detection, crucial for improving the reliability and performance of logistics systems.
Use of techniques such as One-Class SVM, Isolation Forest, and DBScan to detect atypical behaviors in complex datasets.
📊 Models and Algorithms

Exploration and development of models with powerful tools like Scikit-Learn (Random Forest, etc.), TensorFlow, and Keras for various tasks such as classification, prediction, and optimization.
Creation of generative adversarial networks (GANs) and 1D convolutional neural networks (ConvNet 1D) to process time series and structured data.
📈 Prediction and Forecasting

Application of forecasting models such as ARIMA, LSTM, and Prophet to optimize logistics forecasts and anticipate resource needs.
💡 Acquired Skills

Expertise in anomaly detection algorithms and advanced predictive models.
Strong command of machine learning frameworks such as Scikit-Learn, TensorFlow, and Keras, as well as logistics optimization techniques.
Machine learning Python Reinforcement learning

Check out Christophe's experience

Be the first to recommend Christophe

Help this freelancer shine by sharing your experience working together.

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

Baptiste Duhen

Fullstack developer

4.6

(4)

Amed Hamou

Senior Lead Developer

(2)

Audrey Champion

Web developer

4.3

(3)

Signup to reveal

Specialized Master's degree, Big Data & Machine Learning
Telecom ParisTech
2019
Mastère spécialisée, Big data, machine learning
Ph.D
University of Montpellier 2 - European Membrane Institute
2004
Ph.D en Physique