Summary
Hassan Saif is a Senior Manager in Data Science, Analytics & AI with a PhD in Artificial Intelligence and over a decade of hands-on experience building scalable ML, NLP and semantic-web solutions across finance, research and media. He has led multinational teams at HSBC to deploy GenAI and LLM-driven automation for financial crime investigations and model documentation, and now drives AI strategy and delivery at Capgemini Invent. His research-strength background in computational social science underpins practical systems for event detection, radicalisation analysis and real-time editorial insight, often combining deep learning with big-data streaming architectures. Hassan’s work blends academic rigor—demonstrated by improved model accuracies in EU-funded projects—with production engineering, using Spark, Kafka and cloud microservices to deliver fault-tolerant pipelines. Known for translating complex technical advances into clear stakeholder outcomes, he bridges model research, risk governance and operationalisation. A less obvious strength is his track record of turning social-science research into commercial products that meet strict regulatory and scalability constraints.
11 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Artificial Intelligence, Doctor of Philosophy (Ph.D.) Artificial Intelligence at The Open University
BS Information Technology Engineering, BS Information Technology Engineering at Damascus University