Summary
Mohcine Madkour is an applied AI engineer and independent consultant with 10+ years building production-grade ML and Agentic AI systems that translate telemetry and clinical data into measurable business outcomes. He has architected large-scale predictive maintenance and healthcare risk platforms—driving multi-million dollar savings, fleet uptime improvements, and proactive field interventions—while operationalizing MLOps, feature stores, and real-time telemetry at scale. Equally at home in generative AI, LLM pipelines, RAG, and multi-agent workflows, he helps teams implement safety testing, red-teaming, and auditability to make autonomous decisions traceable and compliant. A former research faculty and industry lead, he blends rigorous research instincts with hands-on engineering (AWS, SageMaker, Spark, Kafka) to deploy resilient, observable systems. Based in the Dallas–Fort Worth area, he’s known for translating AI complexity into executive-ready narratives and for upskilling cross-functional teams to adopt AI responsibly.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Mohammadia School of Engineers
Postdoctoral Fellow, Engineering Technology, Postdoctoral Fellow, Engineering Technology at University of Houston
Postdoctoral Research Scientist, Biomedical Informatics, Postdoctoral Research Scientist, Biomedical Informatics at UTHealth Houston
Master Specialise Chef de Projet en Technologies du web, Web Technologies and Security, Master Specialise Chef de Projet en Technologies du web, Web Technologies and Security at Telecom Bretagne
Master's Degree, Mathematics and Computer Science, Master's Degree, Mathematics and Computer Science at Université Ibn Zohr