Habiba Mohamed

I specialize as an AI Data Engineer, with a strong focus on building scalable, reliable, and production-ready data systems. My experience spans the full data lifecycle from designing and managing diverse data models (structured, semi-structured, and unstructured) to developing and deploying modern data architectures capable of processing large-scale, real-world datasets in both batch and real time environments. I have hands-on expertise in modern data technologies, including Apache Spark, Apache Kafka, dbt, Snowflake, and Airflow, and I continuously work on optimizing data workflows for performance, scalability, and maintainability. In parallel, I build AI driven systems and applications, leveraging tools such as PyTorch, Scikit-learn, LangChain, and LangGraph to transform raw data into intelligent, actionable insights and agent-based solutions. I am passionate about designing clean architectures, building reproducible pipelines, and maintaining high standards of data quality. I focus on delivering solutions that are both technically robust and practically impactful, with strong attention to efficiency, scalability, and adaptability across different data environments. I am driven by complex challenges and continuously seek opportunities to leverage data and AI to build systems that create real-world value.