Khaled Maamra

Khaled Maamra currently serves as the Head of R&D at itops, where he spearheads innovative initiatives aimed at transforming manufacturing and supply chain operations through advanced scheduling and provisioning solutions. His expertise lies in leveraging combinatorial optimization techniques and machine learning models to address complex logistical challenges, ensuring more efficient resource allocation, reduced operational costs, and enhanced supply chain resilience. Under his leadership, the R&D team is actively developing cutting-edge algorithms that optimize production schedules, streamline inventory management, and improve demand forecasting, all tailored to the dynamic needs of the manufacturing sector. Khaled’s deep understanding of applied mathematics, graph theory, and AI-driven modeling enables itops to deliver scalable and robust solutions that integrate seamlessly with existing enterprise systems.

Prior to his current role, Khaled led pioneering research projects focusing on blockchain technology, including AML (Anti-Money Laundering), KYC (Know Your Customer), and fraud detection on both public and private blockchains. His work in this domain involved deploying machine learning techniques on Layer 2 solutions and exploring federated learning approaches for fraud detection models, emphasizing data privacy and security. His proficiency with blockchain platforms such as Ethereum, combined with skills in TensorFlow, Docker, and JavaScript, has allowed him to develop sophisticated, privacy-preserving AI models that enhance trust and compliance in financial ecosystems. Khaled’s multidisciplinary expertise—spanning applied mathematics, graph theory, and software development—positions him as a strategic innovator, continuously pushing the boundaries of how AI and blockchain can revolutionize industries. His work at itops exemplifies a commitment to harnessing emerging technologies to solve real-world problems in manufacturing and supply chain management.