Summary
Marc Gené is a Generative AI Engineer with a decade of experience building production-ready ML and data systems from Lleida, Catalonia. With a PhD in Machine Learning and a background spanning full-stack development and academic teaching, he specializes in retrieval-augmented generation, prompt and context engineering, and agent development on Azure. He has delivered end-to-end solutions using Python, FAISS/Qdrant, Llama/C++ runtimes, Hugging Face tooling and Docker, and has applied ML to domains from water infrastructure forecasting to automated management of enterprise text databases. Comfortable bridging research and product, he combines deep theoretical training with hands-on cloud deployments and a pragmatic focus on tabular and unstructured data. An understated strength is his track record of translating complex academic ideas into maintainable industrial systems that directly support decision-making.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD in Machine Learning, Artificial Intelligence, Doctor of Philosophy - PhD in Machine Learning, Artificial Intelligence at University of Lleida
Master's degree, Big data, Master's degree, Big data at Universitat de Lleida
English, Spanish, Catalan