Summary
Lope Muñoz is a Paris-based ML Senior Software Engineer with a decade of experience architecting scalable ML platforms and automation-driven solutions. At Dataiku since 2021, he leads ML infrastructure and tooling that empower data scientists to build, test, and deploy models at scale. Previously at Criteo, he contributed to offline/online learning frameworks and automated model lifecycle management, including experiments with a count-min sketch plus XGBoost model; at Amadeus, he accelerated pricing engine performance and mentored newcomers. He holds an MSc in Computer Software Engineering from Cranfield University and both a Bachelor’s and a Master’s degree in Engineering from the Technical School of Madrid, underscoring a strong software engineering foundation. A collaborative problem-solver who loves turning AI research into practical products, he is passionate about bridging science and engineering, and he helped two colleagues achieve second place at a Hackathon. Fluent in multiple languages and actively pursuing new ones (currently Chinese), he values team-based learning and continuous improvement.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Engineering, Degree in Industrial Technology Engineering, Bachelor’s Degree, Engineering, Degree in Industrial Technology Engineering at Technical School of Madrid
Master’s Degree, Computer Software Engineering, MSc on Computational and Software Techniques for Engineering., Master’s Degree, Computer Software Engineering, MSc on Computational and Software Techniques for Engineering. at Cranfield University
English, Spanish, French, Chinese