Mohamed Samet is a DevOps engineer with 8 years’ experience designing and operating production-grade, AI-driven infrastructure that bridges real-time data processing and cloud-native deployments. He has delivered scalable MLOps and security-focused platforms—from a high-throughput AI intrusion detection system built with Kafka, PySpark, MLflow and Kubernetes to a GPT-enabled mental health product integrating blockchain for tamper-proof data exchange. Comfortable across the full deployment lifecycle, he automates CI/CD with GitLab, deploys containerized microservices with Helm, and instruments systems with ELK for robust observability. Based in Tunis, he blends hands-on Python development with systems thinking to make intelligent applications reliable at scale, and he often works at the intersection of AI model lifecycle, data pipelines, and secure architecture.
8 years of coding experience
1 year of employment as a software developer
Engineer's degree, Computer Science Engineering, Engineer's degree, Computer Science Engineering at Ecole Nationale d'Ingénieurs de Sfax (ENIS)
cycle préparatoire, Math Physique, cycle préparatoire, Math Physique at IPEIS - Institut Préparatoire aux Études d'Ingénieur de Sfax
Contributions:13 PRs, 25 pushes, 21 branches in 5 years 8 months
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