Alexandre Sanou

Freelance AI Data Scientist working on Generative AI, RAG, Machine Learning, and full-stack development projects, with full project ownership from design to production.

Key Projects

Menta Companion – AI Decision Support SaaS Platform (Station F)

Lead Data Scientist responsible for the technical development of the platform

Full-stack development (React/TypeScript, Node.js, PostgreSQL – Drizzle ORM)

Multi-model AI assistant integration (GPT-4, Gemini, AWS Bedrock)

Secure OAuth authentication (Google, Microsoft, Apple)

Real-time analytics dashboard (Recharts)

Microservices architecture and AWS deployment (ECS, EC2, RDS, S3, CloudFront)

Results: successful production launch, high availability, enhanced security

RAG Docs – AI Document Analysis

End-to-end RAG system design (GPT-4o)

Semantic search via PostgreSQL + pgvector

FastAPI REST API with JWT, interactive chat frontend

Impact: –80% of document analysis time

Automation & AI Workflows

AI Workflows (emails, prospecting, chatbots)

n8n deployment with LLM agents and vector databases

Impact: –60% of repetitive tasks

Mental Health AI Platform (Codeur.com)

GPT-4 Chatbot, user portals, booking

Django backend, React frontend, AWS deployment

TerraLabour – Precision Agriculture

Plant disease detection (CNN, Computer Vision)

Flask API, AWS & Docker Swarm deployment

Django/React web platform

Technical Stack

Python, FastAPI, Django, Flask, React, TypeScript, Node.js, PostgreSQL, pgvector, LLM, RAG, LangChain, PyTorch, TensorFlow, Docker, AWS, n8n, OAuth, JWT, Microservices, Agile.

Eutelsat Group is a global leader in satellite communications. The group operates a fleet of geostationary and low-Earth orbit satellites, providing connectivity services worldwide. The company has several thousand employees and serves millions of users.

I joined the Data & IT team at Eutelsat for a period of 2 years.

I participated in the digital transformation of the group's operations by developing AI solutions and web platforms.

The team consisted of data scientists, developers, product owners, and system engineers.

My responsibilities:

- Project coordination with IT and operations teams with rigorous supervision

- Optimization of PostgreSQL database configurations to improve performance

- End-to-end data processing with Python

- Training, evaluation, and deployment of Machine Learning/Deep Learning models via Flask API

- Development of robust APIs with Python Django

- Creation of high-performance frontends with React

- Development of data pipelines to handle large daily volumes

- Integration of Data Science models into operational workflows

I contributed to the following developments:

- Successful launch of a logistics website with smooth deployment of ML/DL models in production

- Significant improvement in team productivity through AI automation

- Implementation of a data infrastructure enabling real-time analysis

Here is the link to the Eutelsat Group website:

Technical context: Python, PostgreSQL, Machine Learning, Deep Learning, Flask, Django, React, Data Pipeline, Data Engineering, ETL, API Development, Git, Agile, Scrum, JIRA, Data Visualization, Predictive Models, Production Deployment, MLOps.

Interdigital is an international company specializing in the research and development of advanced technologies. The company holds thousands of patents and collaborates with global tech leaders.

I joined the R&D team at Interdigital in Rennes on a project focused on Deep Learning innovation.

I worked on artificial intelligence-based image compression algorithms.

The team consisted of researchers, R&D engineers, and data scientists.

My responsibilities:

- Conducting in-depth research through analysis of cutting-edge scientific literature

- Implementing complex Deep Learning algorithms for image compression

- Designing an innovative AI-based compression solution

- Developing an efficient image codec combining several high-performance algorithms

- Writing technical and scientific documentation

I contributed to the following achievements:

- Filing a patent for the developed compression solution

- Developing a functional prototype validated by the R&D team

- Contributing to the advancement of research in Deep Learning-based image compression

Here is the link to the Interdigital website:

Technical context: Python, Deep Learning, Computer Vision, Image Processing, TensorFlow, PyTorch, Compression Algorithms, Neural Networks, Research & Development, Image Codecs, Scientific Computing, NumPy, Matplotlib

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Data Scientist, Python Data Scientist, Machine Learning Engineer, Machine Learning Engineer, Research & Development, R&D, Deep Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, PyTorch, Python Developer, Python Developer, Artificial Intelligence, AI Research, Image Compression, Image Compression.