Shady Smaoui is an engineering manager and distributed systems specialist with 11 years of experience building and operationalizing AI-driven platforms across MLOps, backend, and cloud-native infrastructure. Currently leading Agentic AI & Automation at Kubex, he previously shaped model deployment, live inference, and document AI features at H2O.ai and taught Data/ML/MLOps courses at Le Wagon. He combines hands-on engineering (Python, Kubernetes, CI/CD, multi-cloud) with people leadership to turn research-grade models into resilient, production-grade services. His career spans recommendation systems, ML data platforms, and security-focused AI at companies like SSENSE and Secureworks, giving him a strong grounding in both performance and risk-aware design. Trained in AI/ML at Polytechnique Montréal with a dual engineering background, he’s known for a problem-solver mindset—“I shall either find a way or make one”—that surfaces in cross-functional, delivery-focused initiatives.
11 years of coding experience
9 years of employment as a software developer
Master of Engineering - MEng, Artificial Intelligence and Machine Learning, Master of Engineering - MEng, Artificial Intelligence and Machine Learning at Polytechnique Montréal
Bachelor of Engineering - BE, Computer Software Engineering, Bachelor of Engineering - BE, Computer Software Engineering at University of Quebec
Contributions:42 commits, 55 pushes, 1 branch in 1 year 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.