Guillaume Soulat

I train teams and professionals in the most advanced AI and Data technologies, with one goal: to ensure rapid skill development and direct applicability in production.

Pedagogical Approach

Proven "learning by doing" methodology on 2 Simplon cohorts: in-depth theory,

end-to-end projects, real-world deployment. My trainees are operational upon

completion of their training.

AI & Machine Learning Expertise

• Generative AI & LLMs: Fine-tuning, RAG, autonomous agents (LangChain, LangGraph, CrewAI)

• Deep Learning: Computer Vision (CNN), NLP, advanced architectures (TensorFlow, PyTorch)

• Industrial ML: Predictive model design, optimization, MLOps (scikit-learn)

Complete Data Engineering Stack

• Data Orchestration: Spark, DBT, DLTHub, Fabric

• Databases: SQL, MongoDB, distributed architecture

• Development: Advanced Python, FastAPI, Django, Flask - intelligent API design

Cloud & Infrastructure

• Multi-cloud: Azure (Databricks, Fabric), GCP, Snowflake

• IaC: Terraform (AWS/Azure/GCP), Ansible

• Containerization: Docker, Kubernetes - scalable deployments

DevOps & Production

• CI/CD: Automated pipelines, continuous deployments

• Monitoring & Observability: Prometheus, Grafana - business dashboards and alerting

• Automation: N8N, end-to-end AI workflows

My Commitments

✓ Up-to-date content with the latest versions (daily tech watch)

✓ Concrete projects adapted to your industry

✓ Personalized and reusable training materials

✓ Post-training follow-up and deployment support

Ideal for:

- Upskilling technical teams

- Continuous training for developers/data engineers

- AI POCs and prototyping

- Data/AI architecture audit and support

Available as a freelancer for in-company training, technical workshops,

and strategic support on your AI and Data projects.

RAPID INTERVENTION ON YOUR PYTHON PROJECTS

Full-Stack Python Developer specializing in creating complete web applications, from cloud infrastructure to artificial intelligence integration.

100% remote • Fast delivery • Production-ready code

REFERENCE PROJECT: Management application deployed in production

Backend & Data

- REST API with FastAPI (JWT authentication, security middleware, rate limiting)

- PostgreSQL with Alembic migrations

- Automated ETL pipelines with Apache Airflow (daily import, cleaning, notifications)

Artificial Intelligence

- Computer Vision impact analysis system with YOLO

- Automatic detection and real-time image processing

- Integration of external APIs (weather, government data)

Infrastructure & DevOps

- Automated deployment via Ansible on Ubuntu server (OVH)

- Multi-container Docker Compose architecture

- Traefik reverse proxy with automatic SSL

Frontend

- Responsive interface with Tailwind CSS and JavaScript

- Administration dashboard with statistics and interactive charts

- Integrated booking system and blog

SKILLS

Backend: Python, FastAPI, SQLAlchemy, PostgreSQL, JWT

Data: Apache Airflow, Pandas, ETL pipelines

AI/ML: YOLO, Computer Vision, OpenCV

DevOps: Docker, Ansible, Traefik, Linux

Frontend: JavaScript, Tailwind CSS, REST APIs

At Leroy Merlin, I worked on the Adeo Retail Media (ARM) project to develop an innovative advertising platform. My responsibilities included optimizing data pipelines with Terraform and DLT to reduce costs and ensure smooth transfers between BigQuery, PostgreSQL, and CSV files. I automated quotation processes via Google Sheets, improving the efficiency of exchanges between clients and operational teams. I also designed analytical dashboards to track advertising performance (CPC, CPM) and developed management KPIs for optimized campaign management. Using Looker and LookML, I created interactive visualizations to facilitate data-driven decision-making.