Hussein Chouman

WORK HISTORY

EDUCATION

SKILLS

ABOUT HUSSEIN CHOUMAN

I am an Optical Network Engineer with deep expertise in optical network design, performance assessment, and AI-driven optimization. I bring 10+ years of combined industry and academic experience across Infinera, Ciena, IMT Atlantique, and Telecom ParisTech. My work spans long-haul, unrepeated subsea, and flex-grid optical networks, with a strong focus on planning tools, system modeling, and performance validation.Optical Networks & SystemsI have contributed to the design and optimization of long-haul and subsea architectures using NPS, TNPS, MPB, and GNPy-based workflows. My experience includes QoT estimation, margin analysis, spectrum efficiency, and feature definition for planning and simulation tools. I also bring hands-on lab experience with EDFA-amplified systems, optical test benches, and transmission validation.AI, Data & Advanced AnalyticsI apply machine learning and data-driven methods to optical networking problems, including deep neural networks (DNNs) and reinforcement learning (RL) for routing, spectrum allocation, and QoT forecasting. I work extensively in Python (Pandas, scikit-learn, TensorFlow) to process large optical datasets, validate models, and support decision-making through analytics and visualization (Power BI).Modeling, Simulation & SoftwareI have built optical network simulators and planning models in C, C++, and Java, including event-driven and Net2Plan-based frameworks, bridging algorithm design with real network constraints.I am particularly interested in system architect, planning, and applied R&D roles where optical domain expertise, analytics, and AI can directly influence network design, automation, and scalability.