Summary
Michel Khan is a technology leader and researcher with 18+ years of hands-on experience building and scaling cloud-native systems, currently serving as CTO for Co-Cart where he leads the tech behind VETTE for Condé Nast. He combines deep academic expertise—a PhD and postdoctoral work in ML-driven optimization and digital twinning—with practical leadership as a serial founder and former CTO who re-architected platforms toward microservices and cost-efficient DevOps. His research on performance optimization of 5G clouds and microservice chains has produced patents and peer-reviewed publications, and he has applied that work industrially in collaboration with Ericsson and AstraZeneca. Michel is fluent across the full stack from infrastructure and DevOps to ML and computer vision, and he coaches teams to adopt agile, evidence-driven practices. An unusual blend of academic rigor and operator mindset, he now also runs a stealth AI platform for developer productivity while continuing applied research in Industry 5.0.
11 years of coding experience
16 years of employment as a software developer
PostDoc, Machine Learning Driven Optimization of Production in Industry 5.0, PostDoc, Machine Learning Driven Optimization of Production in Industry 5.0 at KTH Royal Institute of Technology
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Iran University of Science and Technology
Doctor of Philosophy - PhD, Computer Science - Machine Learning Driven Performance Optimization for Cloud Native Systems, Doctor of Philosophy - PhD, Computer Science - Machine Learning Driven Performance Optimization for Cloud Native Systems at Karlstad University
Armenian, English, Persian, Swedish, _arabic