Causal Auditing of RL Loan Pricing Policies Using Process Mining
A causally-audited reinforcement-learning pipeline for loan/insurance offer optimization, built on real BPI Challenge 2017 event data.
View case studyIndependent AI engineer helping ambitious teams turn complex machine learning ideas into production-ready products, from core ML and LLMs to cloud infrastructure and system design.
End-to-end AI engineering across the full stack.
Custom training, fine-tuning, RAG, and agentic LLM systems built as observable, maintainable pipelines.
Deploy, monitor, and maintain ML systems on AWS, GCP, and Azure with infrastructure-as-code and CI/CD.
Architect scalable data pipelines, feature stores, and real-time inference services that evolve with your product.
Production-grade APIs, backend services, and integrations that connect AI capabilities to real user workflows.
4+
Years experience
10+
Projects shipped
3+
Industries served
€1.6M+
Projected impact
Let's talk about how AI can accelerate your product roadmap.
Case studies with the architecture, the metrics, and the trade-offs.
A causally-audited reinforcement-learning pipeline for loan/insurance offer optimization, built on real BPI Challenge 2017 event data.
View case studyNext-word prediction trained across distributed clients where only differentially-private model updates ever leave the device.
View case studyAn agentic shopping assistant with four retrieval strategies as tools, and no capability to create a billable order without human sign-off.
View case studyBuilt on a company's own catalogue: compose outfits from its products, then pick the influencer marketing portfolio that best fits them under a budget.
View case studyFeedback from the teams I've built with and the people I've shipped alongside.
“Erwan's performance has consistently exceeded expectations. He is driven by delivering high-quality work on time and has an impressive ability to overcome all challenges. His versatility, strong work ethic, proactive approach and innovative thinking have enabled him to make significant contributions in multiple areas and resulted in remarkable improvements to our processes. His excellent team spirit, collegial approach and multi-cultural background have fostered a positive and productive team environment.”