Mahdi Massahi
Mahdi Massahi is a Machine Learning Engineer consultant at Xebia Data with over nine years of industry experience. He specialises in turning complex concepts into production-grade reality, with a strong focus on architecting and scaling LLM-based applications. Leveraging his Computer Science foundation, his core mission is to tackle complex challenges in the most efficient way possible by building robust, observable, high-performing AI systems while empowering teams through dedicated training.
Mahdi brings a strong analytical perspective to AI, grounded in his academic background in Computer Science. This foundational knowledge allows him to seamlessly bridge the gap between complex theoretical algorithms and robust, scalable applications.
Over his career, he has delivered high-impact solutions across diverse domains, including over six years developing sophisticated algorithmic trading systems and building LLM-based solutions from startup-scaled companies to enterprises.
At Xebia Data, Mahdi’s work heavily focuses on building, scaling, and maintaining Large Language Model powered application at enterprise scale. Beyond this, he possesses a deep passion and expertise for bio-inspired computing, particularly Genetic Programming, using these techniques to solve complex optimization problems.
A core part of Mahdi’s professional ethos is knowledge sharing. Whether he is architecting a production AI system or leading a training session, Mahdi helps engineering teams bridge the gap between cutting-edge AI research and real-world business value.
Trainer expertise
Machine Learning and AI Engineering
Technical Training
LLM &
Generative AI
Evolutionary & Bio-Inspired Algorithms
Upcoming courses
Agentic AI introduces a new generation of systems that can plan, reason, and take actions. In this hands-on course, developers will learn how to build AI agents using modern tooling and Google Cloud Platform, exploring concepts like tool use, planning, and multi-step reasoning.
