Lourens Touwen is an Applied AI Engineer with nine years of experience blending rigorous applied mathematics and hands-on ML engineering to build production AI systems for startups, scale-ups, and venture capital firms. He has shipped LLM-powered deal-sourcing and evaluation engines deployed at a €1B fund, built semantic ingestion and RAG pipelines for unstructured building data, and created high-throughput analytics for automated warehouses. A TU Delft MSc graduate now headed to Toronto for thesis work and a PhD trajectory in computer science, he comfortably moves between stochastic simulation, graph theory research, and pragmatic AI productisation. Notably, his work often focuses on durable knowledge bases and autonomous agents that integrate with real-world workflows rather than toys—reflecting a consistent interest in societal impact alongside technical depth.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Eindhoven University of Technology
Gymnasium (VWO) Natuur & Techniek profiel met Wiskunde D Economie en Aardrijkskunde, Gymnasium (VWO) Natuur & Techniek profiel met Wiskunde D Economie en Aardrijkskunde at Stedelijk Gymnasium Leiden
PhD Candidate Computer Science, PhD Candidate Computer Science at Delft University of Technology
Visiting Research Student Applied Mathematics, Visiting Research Student Applied Mathematics at Toronto Metropolitan University
Contributions:14 reviews, 15 PRs, 24 pushes in 10 months
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Lourens Touwen - Applied AI Engineer at Mistral AI