Guillaume Q.

I’m a Machine Learning Engineer specialized in Fraud Detection, Generative AI, and MLOps. I help businesses and institutions transform complex data into scalable, secure, and high-performing AI systems — from idea to production.

I developed and put in production solutions for big players in the retail, banking, pharmaceutical and consumer electronics industries.

Whether you're looking to build a fraud detection engine, deploy a GPT-powered assistant, or automate your machine learning pipelines, I bring 5+ years of experience delivering real-world, high-impact solutions in production environments.

Core Skills:

GenAI / LLMs (GPT-4, LangChain, RAG systems) – Extraction, classification, and search over unstructured data (PDFs, websites, CRMs).

Fraud Detection (AML, card fraud, anomaly detection) – Supervised & unsupervised ML to detect novel fraud patterns. XGBoost, Unsupervised Clustering (HDBScan + UMAp), Isolation Forests...

MLOps & Deployment – CI/CD, FastAPI, Docker, MLflow, on GCP, Azure, and on-premise servers.

Highlights:

- Developed a GenAI content tagging engine for a pharmaceutical group (20,000+ documents, 9 languages).

- Developed multiple GenAI medical writing automation for a pharmaceutical group.

- Designed and deployed in production Fraud Detection models for 2 major banks.

- Led the creation of a GPT-based classifier for fraudulent websites.

- Built machine learning pipelines on GCP, Azure, and on-premise, ensuring scalability and GDPR compliance.

Let’s connect if you need an expert who can understand your business, navigate your tech stack, and deliver real results — fast and reliably.