Amir Elmishali is a Senior Data Scientist with 11 years of experience and a PhD in Software and Information Systems Engineering, combining academic rigor with hands-on AI product delivery. He has led development of foundation models, integrated structured data with LLMs, and deployed AI systems across cloud (Azure OpenAI) and on-prem GPU infrastructure (NVIDIA DGX) for healthcare at Clalit Innovation. His background spans research roles and teaching at Ben-Gurion University, a feature-recommendation internship at Facebook, and early cybersecurity platform engineering in Unit 8200, giving him deep expertise in ML for software engineering, anomaly detection, and time-series signal analysis. Known for designing robust LLM evaluation methodologies for complex queries, he focuses on turning noisy, structured and temporal data into actionable recommendations. Colleagues value his ability to bridge research and production—training models on proprietary data while ensuring practical, clinically relevant outcomes.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Software and Information Systems engineering, Doctor of Philosophy - PhD, Software and Information Systems engineering at Ben-Gurion University of the Negev
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