Summary
Damien Gengler is a Machine Learning Engineer with eight years of experience building and shipping ML and deep learning systems, holding a Master’s in Data Science from EPFL. He has led production-facing AI work from research to deployment—designing LLM-driven pipelines, agentic RAG systems, and client insight extraction platforms—while also co-founding an AI-powered housing search startup that launched a live product. Damien blends strategic product vision with hands-on engineering, having implemented evaluation frameworks, local model serving (vLLM/LiteLLM), and scalable deployments using Docker and Fly.io. He has academic experience in continual self-supervised clustering and a track record of improving platform reliability and customer retention through pragmatic ML engineering. Based in Lyon, he excels at turning advanced research into maintainable, customer-facing solutions that scale.
8 years of coding experience
2 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at EPFL
Bachelor's degree Informatique, Bachelor's degree Informatique at Linköping University
English, French, Spanish