Hamza Harkous is a Senior Staff Research Scientist at Google Zürich with over a decade of experience building large-scale NLP, privacy, and synthetic-data systems. He founded and leads Simula, Google’s internal synthetic data framework that powers dozens of high-impact launches—from Gemini safety classifiers to Android scam detection—bringing agentic LLM approaches to data diversity and complexity. His prior work transformed data curation pipelines via diversified retrieval, active learning, and automated debugging, and he architected core models for Google’s Checks privacy service and enterprise-scale feedback analysis. Before Google he worked on NLU and data-to-text generation at Amazon Alexa and conducted award-winning privacy and HCI research during his PhD and postdoc at EPFL. He combines deep research rigor with product-minded engineering, and his privacy-focused projects have earned international recognition and coverage in major tech outlets.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer communication and information sciences, Doctor of Philosophy (Ph.D.) Computer communication and information sciences at EPFL
BE Computer and Communications Engineering, BE Computer and Communications Engineering at American University of Beirut
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