Summary
Michail Kovanis is a Head of Cloud & Software Operations based in Paris with a decade of experience building and operationalizing AI and cloud-native solutions, particularly for regulated medical-device environments. He blends hands-on ML engineering—having led visual-inspection and time-series root-cause systems at Faurecia—with MLOps and cloud deployment expertise to move models from research to production at scale. His background spans a PhD-level foundation in complex systems and agent-based modeling to practical products like patient-facing NLP tools at INSERM and patented signal-clustering algorithms deployed across manufacturing plants. Known for mentoring cross-functional teams, he emphasizes compliant, auditable pipelines and microservices architectures on Azure, Kubernetes, and Kafka. Michail’s profile reflects both deep research chops and a proven track record of shipping industrial AI in highly regulated contexts.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at National & Kapodistrian University of Athens
Master's degree Computational and Applied Mathematics - Complex Systems (M2), Master's degree Computational and Applied Mathematics - Complex Systems (M2) at École Polytechnique
Doctor of Philosophy - PhD Computational and Applied Mathematics, Doctor of Philosophy - PhD Computational and Applied Mathematics at Université Paris Cité
Master's degree Computational and Applied Mathematics - Complex Systems (M1), Master's degree Computational and Applied Mathematics - Complex Systems (M1) at University of Gothenburg
English, Greek, French