Sana Maghraoui

Sana Maghraoui is an AI and Data Science Engineer with a focus on intelligent systems, autonomous robotics, and data-driven industrial optimization. Her expertise lies in developing advanced algorithms, scalable AI models, and multi-agent frameworks that power real-world applications in both research and enterprise environments.

At Valhko, Sana is leading the implementation of multi-AI agent systems using frameworks such as CrewAI and LangChain, driving the development of autonomous, task-coordinated agents capable of advanced reasoning, collaboration, and dynamic decision-making. Her work supports the creation of intelligent AI-driven ecosystems that enhance user experience and system scalability across Valhko’s product offerings.

Previously, at the International Artificial Intelligence Center of Morocco (AI Movement - UM6P), she contributed to cutting-edge R&D projects focused on autonomous navigation and mapping in GPS-denied environments. She applied reinforcement learning, bio-inspired algorithms, and UAV/UGV coordination techniques—leading to notable improvements in efficiency and real-time adaptability.

At Eaux Minérales d'Oulmès, she developed a CNN model for bottling defect detection and played a key role in optimizing industrial data pipelines, visualization tools, and production workflows using Lean Six Sigma and root-cause analysis tools.

Sana holds a State Engineering Degree in Industrial Engineering with a specialization in AI and Data Science from ENSAM Meknès, where she also led socially impactful innovation initiatives through ENACTUS and the Arts et Métiers Social Club.

Technical Skills: Python, C++, R, SQL, PyTorch, Keras, TensorFlow, Scikit-learn, OpenCV, LangChain, CrewAI, Power BI, Tableau, ROS, Git, MATLAB
Languages: Arabic (Native), French (Fluent), English (Proficient)