Hanna Kroukamp is a data scientist and founder with seven years of experience building scalable data engineering and ML systems, most recently optimizing RAG and Copilot experiences at Microsoft. She combines deep expertise in automated data quality, governance and anomaly detection with practical skills in telemetry, real-time pipelines and model monitoring to improve reliability and performance at scale. Her background spans product-focused analytics—customer churn, LTV, demand forecasting—and core platform improvements for model error tracking and data quality recommendation systems. A polyglot coder (Python, C#, Java, JavaScript) and Oxford-trained software engineer, she also authors books, teaches GenAI courses, and mentors AI students, bridging industry practice with public-facing education and writing.
7 years of coding experience
17 years of employment as a software developer
MSc Software Engineering, MSc Software Engineering at University of Oxford
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